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Security of Connected Systems
4,500 words
CW: Security Evaluation
This assignment is an individual technical report focused on the security evaluation and strategic development of a rapidly expanding Internet of Things (IoT) systems developer based in Coventry. The client specialises in innovative IoT devices and systems for residential and commercial applications, particularly smart energy monitoring, and is planning to scale its operations and expand into new markets. The report is designed to provide practical and strategic guidance on how the organisation can achieve this growth while maintaining strong cybersecurity. The assignment requires students to act as an external IoT Security and Scaling Strategist and critically evaluate the organisation’s current and future security needs. The report covers four principal areas: organisational change strategy, secure design and development strategy, security audit strategy, and security recommendations. The organisational change section considers internal and external factors influencing growth, the development and implementation of an organisational strategy, monitoring against objectives, and approaches to leading and managing strategic change using relevant change management theories and models. The secure design and development section requires an overview and evaluation of possible secure design processes for IoT systems, including their strengths and weaknesses, followed by a recommendation for an appropriate process. The security audit section examines methods such as PTES and OWASP and develops a guide for conducting a security audit, including the testing methodology, rationale for each stage, and evaluation of different approaches. The security recommendations section requires a case study of an IoT security vulnerability, examination of where the security flaw was introduced, assessment of weaknesses in the secure design or audit process, consideration of the resulting security impact, and recommendations for improvement. The report should be written for a technical audience, particularly the client’s software development team, and should use appropriate structure, technical language, diagrams where useful, and APA referencing. The organisational strategy and strategic change proposal should be included in appendices and referenced within the main report. The assessment is worth 30 credits and has a maximum word count of 4,500 words, with the main sections weighted across organisational change, secure design, security auditing, security recommendations, and report structure.
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Computing Science
Writing a Literature Review in Computing Science
This individual assessment requires students to write a concise literature review on a selected topic within computing science. The review should be no more than six pages in length and should be written in a style appropriate for a general computing science audience. The assignment is designed to demonstrate technical knowledge, independent learning, effective written communication and professionalism in producing a concise technical document. Students must select a research topic from one of five permitted areas: algorithmic bias and fairness, a data science application, quantum computing, the Internet of Things (IoT), or the use of artificial intelligence in cybersecurity. Possible topics include how algorithms can discriminate and techniques for detecting and correcting algorithmic bias, applications of data science in areas such as agriculture or healthcare, quantum computing algorithms and hardware, technical IoT problems and potential solutions, and the use of AI for cybersecurity threat detection and prevention. The literature review must contain several required components. The first page should contain only the title, student number, abstract and statement of AI usage. The abstract must provide a concise overview of the review and must not exceed 200 words. The report should also include an introduction that provides broad background information before narrowing the discussion to the selected research topic. The introduction should explain why the topic is important and provide relevant context and examples of applications. Students are expected to review a range of relevant literature, including theories, methods, techniques, ethical concerns or tools where appropriate. The selected literature should not simply be described individually; instead, students must synthesise the sources to identify important themes, findings and areas of interest and provide a critical review of the literature. The conclusion should summarise the main findings, identify open issues and discuss possible future directions. The assessment must include a bibliography with accurate and up-to-date references formatted using Harvard style. The final document may be prepared in LaTeX or Word but must use one of the provided templates and be submitted as a PDF through Blackboard. The complete review, including figures and bibliography, must not exceed six pages. The assessment is marked according to structure, sources and their description, synthesis and critical review, and presentation.
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Cybersecurity / Information Security Auditing
3,000 words
Physical Security Audit of University Computing Facilities Using ISO/IEC 27002:2022
This postgraduate information-security coursework requires students to act as an IT Security Auditor working for CyberSAFE Auditors and conduct a professional physical-security audit of computing resources used by students at the University of Greenwich. The audit focuses on public student-study and open computing areas within the Dreadnought and Stephen Lawrence Buildings, with findings evaluated against relevant physical-security controls from ISO/IEC 27002:2022 Section 7. 202526 SL-COMP1431 CWK 2026-am … The project begins with planning and project-control activities. Students must define their audit tasks, plan the work independently and document progress through two Work-in-Progress reports, one produced near the beginning of the project and another approximately halfway through. Each WIP report is limited to 250 words and records completed activities, encountered or anticipated problems, planned next steps and potential risk areas. 202526 SL-COMP1431 CWK 2026-am … The second phase involves practical fieldwork. Students must visit the specified university buildings and decide on suitable audit methods, timetable and evidence-gathering procedures. The audit is restricted to public student areas and must not include staff rooms, seminar rooms or utility areas. Students must also comply with client-imposed constraints, including not communicating with university staff and approaching the audit from the perspective of an ordinary student rather than conducting highly technical operating-system or server-level investigation. 202526 SL-COMP1431 CWK 2026-am … 202526 SL-COMP1431 CWK 2026-am … The final professional audit report evaluates secure areas and equipment security, including physical security perimeters, entry controls, protection of rooms and facilities, working in secure areas, equipment siting, supporting utilities and cabling security. Findings should distinguish between expected controls and observed controls, identify gaps and provide justified recommendations for immediate and future management action. 202526 SL-COMP1431 CWK 2026-am … 202526 SL-COMP1431 CWK 2026-am … Assessment places particular emphasis on practical audit methodology, secure-area analysis, equipment security, audit conclusions, gap analysis, professional reporting and the two WIP reports. 202526 SL-COMP1431 CWK 2026-am … Overview word count: approximately 355 words. AI-use note: the brief states that this coursework does not lend itself to reliance on AI-based applications such as ChatGPT and emphasises original analysis, fieldwork and proper attribution of sources. 202526 SL-COMP1431 CWK 2026-am …
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Cyber Security / Internet of Things / Connected Systems
4,500 words
Security Evaluation for Connected Systems: IoT Strategy, Secure Design, Security Auditing and Organisational Change
This Security of Connected Systems assessment requires students to act as an external IoT Security and Scaling Strategist for a rapidly expanding Coventry-based technology startup specialising in connected devices and smart energy-monitoring systems. The client intends to scale its operations and enter new markets and therefore requires both organisational-change guidance and a comprehensive evaluation of its cybersecurity posture. 38f2fba9a933f212c9e46e8cc591cf2… The report combines business strategy with technical cybersecurity analysis. Students must review different secure design and development methodologies, compare their strengths and weaknesses, and recommend an appropriate approach for integrating security into the client's IoT software-development lifecycle. 38f2fba9a933f212c9e46e8cc591cf2… 38f2fba9a933f212c9e46e8cc591cf2… A major component of the assessment focuses on organisational change strategy. Students examine the internal and external factors driving organisational growth, develop a comprehensive strategy for achieving the client's business objectives, and explain how that strategy should be implemented and monitored. The report must also critically evaluate relevant change-management theories and models and address the complexities of leading and managing strategic transformation. This section carries 35% of the marks and is allocated approximately 2,000 words. 38f2fba9a933f212c9e46e8cc591cf2… The Security Audit Strategy section requires students to design a guide for auditing the client's connected system. Different approaches, including methodologies such as PTES and OWASP, should be compared and evaluated. Students must explain each stage of the selected testing methodology and justify why the individual steps are required. 38f2fba9a933f212c9e46e8cc591cf2… The final technical component applies these principles to an IoT vulnerability case study. Students research a real vulnerability in an IoT device, explain where the security flaw was introduced, identify weaknesses in the secure-design or audit process, assess the resulting security impact and propose appropriate corrective actions. 38f2fba9a933f212c9e46e8cc591cf2… Overall, the coursework integrates IoT cybersecurity, secure software development, security auditing, vulnerability analysis, organisational strategy and strategic change management. The marking scheme allocates 35% to organisational-change strategy, 20% each to secure design and development, security auditing and security recommendations, and 5% to report structure. 38f2fba9a933f212c9e46e8cc591cf2… Important: the brief states that it is for Coventry University Group students' own use and must not be passed to third parties or posted on a website. 38f2fba9a933f212c9e46e8cc591cf2… So use an original public summary like the one above, but do not upload the original brief itself.
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Cyber Security / Applied Cryptography / Secure Systems Design
2,500 words
Secure Property Contract Exchange: Cryptographic Protocol Design, Threat Modelling and Post-Quantum Readiness
This Applied Theory of Cyber Security and Secure Design coursework places students in the role of a cyber security consultant engaged by Hackit & Run LLP, a legal firm specialising in UK and international property transactions. The firm wishes to implement a secure digital system for handling, exchanging and legally signing property contracts. Students must design and evaluate a secure communication protocol supporting interactions between the buyer’s solicitor, the seller’s solicitor and the buyer while addressing both first-time communications and previously established secure relationships. 11b17febb9eeb4570f76f6ca95a831a… Section A – Cryptographic Protocol Design, worth 45%, requires a complete secure communication protocol. Students must explain how trust is initially established, how later communications can be simplified without weakening confidentiality, integrity or availability, and how the buyer can digitally sign a contract in a manner enforceable under UK law. The design must justify specific cryptographic algorithms for functions such as key exchange, bulk encryption, digital signatures and hashing. The protocol must be presented through both a sequence diagram showing message flows and cryptographic operations and pseudocode explaining the key algorithmic stages. 11b17febb9eeb4570f76f6ca95a831a… Section B – Threat Modelling, worth 20%, requires a focused analysis using the STRIDE methodology. Students identify three realistic threats from different STRIDE categories and analyse the attack vector, asset at risk and potential effect on the legal transaction. Each threat must then be connected back to specific protocol defences, with residual risks acknowledged where controls cannot provide complete mitigation. The guidance encourages consideration of issues such as social engineering, insider threats, key-management failures and availability risks in addition to purely cryptographic attacks. 11b17febb9eeb4570f76f6ca95a831a… Section C – Security Evaluation Against Standards, worth 15%, requires students to evaluate the proposed system against a recognised cybersecurity standard or framework. Options include ISO/IEC 27001:2022, Common Criteria (ISO/IEC 15408) and the OWASP Application Security Verification Standard. Students select three or four directly relevant controls or requirements, assess whether the proposed design satisfies them, identify gaps and recommend specific improvements. 11b17febb9eeb4570f76f6ca95a831a… Section D – Post-Quantum Readiness and Critical Reflection, worth 15%, examines how a future quantum-capable adversary could affect the protocol. Students identify vulnerable cryptographic components, discuss the NIST Post-Quantum Cryptography standardisation programme, and examine replacement algorithms such as ML-KEM for key establishment and ML-DSA for digital signatures. They must also evaluate a hybrid migration strategy combining classical and post-quantum algorithms, considering performance overhead, backward compatibility and the legal admissibility of post-quantum digital signatures. 11b17febb9eeb4570f76f6ca95a831a… The remaining 5% evaluates professional report quality, logical structure, technical language, integration of diagrams and consistent CUHarvard referencing. Higher-quality work is expected to demonstrate a sophisticated trust model, clear traceability between threats and controls, precise standards mapping, practical security recommendations and well-evidenced analysis of post-quantum migration. 11b17febb9eeb4570f76f6ca95a831a… Important for the public Reference Library: the brief states that the assessment document is intended only for Coventry University Group students and must not be passed to third parties or posted on any website. Therefore, publish only an original high-level description such as the overview above; do not upload or reproduce the original assignment brief publicly. 11b17febb9eeb4570f76f6ca95a831a…
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Data Science / Artificial Intelligence / Generative Modelling
Generative Modelling Case Study: GANs for Medical Imaging, Cybersecurity and Creative AI
This Generative Modelling Case Study requires students to design, implement and evaluate Generative Adversarial Networks (GANs) across a range of synthetic and real-world applications. The coursework develops both theoretical understanding and practical deep-learning skills, with emphasis on building models, evaluating generated data and critically interpreting model performance. The assessment addresses research understanding, originality, future development and scholarly communication in data science. Generative modelling case study… Part 1 – Building and Understanding GANs from Scratch focuses on fundamental GAN concepts using synthetic two-dimensional data. Students first reproduce a sine-wave GAN from the tutorial and then create a second synthetic distribution using either a 2D spiral, a mixture of Gaussians or a noisy parametric curve. They must modify aspects of the GAN architecture, such as activation functions or network depth, and visually compare generated samples with the original data distribution. Generative modelling case study… Part 2 – Real-World GAN Applications extends the work across three application domains. The first application uses the BloodMNIST subset of MedMNIST to train a DCGAN that generates synthetic blood-cell microscope images. Students explore the dataset, analyse class distributions, train the model, monitor generator and discriminator losses and compare real and generated images using both visual inspection and quantitative measures such as the Fréchet Inception Distance (FID). An optional extension involves implementing a class-conditioned GAN capable of generating images from specific categories. Generative modelling case study… The second application addresses cybersecurity using the CICIDS 2017 intrusion-detection dataset. Students construct a GAN that generates synthetic network-traffic feature vectors rather than images. The model is trained using benign and denial-of-service traffic, and generated samples are compared with real traffic using dimensionality-reduction techniques such as PCA or t-SNE. Students must evaluate how closely the synthetic traffic reflects the distribution of genuine network data. An extension allows analysis of the full CICIDS dataset and evaluation across different attack types. Generative modelling case study… The third application explores Creative AI using the Google QuickDraw pizza category. Students implement another DCGAN to generate artificial pizza sketches, track training behaviour across epochs, and compare generated sketches with genuine examples using both visual inspection and quantitative metrics such as FID. Extension work may examine additional QuickDraw categories and investigate how model performance changes with class and sketch complexity. Generative modelling case study… Submission consists of a 6–8 page report together with working code. The report should explain the analysis undertaken, justify modelling decisions, describe the network architectures, interpret the results and incorporate suitable figures, evaluation metrics and references. The accompanying code must reproduce the figures, models and numerical results reported and must execute successfully when tested. Generative modelling case study… The marking scheme places 60% of the marks on code and 40% on the report. Within the coding component, 40 marks relate to completing the GAN modelling tasks and 20 marks assess code quality, modularity and annotation. The report is assessed on discussion and interpretation of the analysis, justification of architectural choices, results presentation, document quality, figures and appropriate academic references. Generative modelling case study… Important for the public Reference Library: the brief explicitly states that students must not use generative AI to write the report, and the rubric states that AI-generated report text can result in zero marks for the whole assignment. Therefore, use this entry only as a high-level public description of the assessment and do not present generated report content as something students can submit directly. Generative modelling case study… Generative modelling case study…
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Cybersecurity / Security Operations
Catnip Games International: SOC Automation and Incident Response Platform
This cybersecurity project presents the design and implementation of a prototype Security Operations Centre (SOC) automation and incident-response platform for Catnip Games International. The scenario addresses security challenges affecting a gaming organisation operating more than 300 Linux servers across two data centres, including credential-stuffing bot attacks, compromised player accounts, phishing campaigns and delayed coordination during security incidents. Catnip_Games_SOC_Complete Catnip_Games_SOC_Complete The proposed solution integrates TheHive 5, Cortex 3, Elasticsearch, Cassandra and Python-based automation, with MISP explored for threat-intelligence integration. TheHive functions as the central incident and case-management platform, Cortex provides automated observable analysis, Elasticsearch supports search and log storage, Cassandra provides persistent case and alert storage, and Python scripts automate alert ingestion and workflow activities through REST APIs. Catnip_Games_SOC_Complete Catnip_Games_SOC_Complete Implementation includes environment configuration, Docker deployment, API integration, automated alert generation, incident-response playbooks, KPI monitoring and backup procedures. Three attack scenarios are modelled: bot attacks, account takeover and phishing. Alerts are automatically ingested into TheHive, converted into cases and processed through analyst triage, investigation and resolution workflows. Catnip_Games_SOC_Complete Catnip_Games_SOC_Complete The project also develops structured response playbooks covering triage, containment, investigation, recovery and post-incident actions for each security scenario. Operational metrics are visualised through a KPI dashboard measuring alert volumes, response times, Mean Time to Detect (MTTD), Mean Time to Respond/Resolve (MTTR) and platform availability. Catnip_Games_SOC_Complete Catnip_Games_SOC_Complete Overall, the work demonstrates practical application of SOC architecture, security automation, incident management, threat analysis, containerised infrastructure, API-based integration, operational metrics and cyber-response procedures within a realistic gaming-industry security scenario. Catnip_Games_SOC_Complete Overview word count: approximately 330 words. Important before putting the presentation on a public Reference Library: redact any API keys/authentication tokens and other live credentials shown in the technical slides. The presentation includes API-key material in the Cortex and Python automation sections, so those credentials should also be revoked/rotated if they were ever active. Catnip_Games_SOC_Complete Catnip_Games_SOC_Complete
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Operating Systems and Networks
2,000 words
Security of Operating Systems and Networks – Individual Assignment
This individual assignment focuses on the security of operating systems and computer networks. Students are required to produce a professional technical report of approximately 2,000 words demonstrating a deep and systematic understanding of operating-system security, networking functions, security threats, vulnerabilities and practical security testing. The assessment carries 50% and forms 100% of the module assessment. Students are expected to support their work with appropriate technical evidence, images showing practical steps and relevant sources. The assignment uses a business scenario involving Net-Tech, a small and medium-sized technology-services enterprise. The organisation is concerned about the security of its proposed system, including operating-system attacks such as buffer overflow and network threats such as hacking and phishing. Students are required to investigate, design and experiment with the features and functions of a web server used to serve the company's website, while assessing the security landscape and presenting findings that can support appropriate organisational security decisions. As part of the practical work, students must create a prototype Net-Tech network test rig. This includes creating two users, with one configured as a superuser and another as a standard user, applying appropriate baseline security measures, installing suitable software and identifying vulnerabilities, using appropriate tools to conduct security tests, and writing scripts to automate repetitive tasks. Students must document assumptions and parameters used within the project, including further security implementations and recommendations such as the use of a suitable database for a database-driven website. The report is structured around introduction, background research, pre-engagement, engagement and post-engagement activities. The introduction should explain the business scenario, assumptions, aims, objectives, deliverables, available skills and resources, constraints and project plan. The background research should address common vulnerabilities, threats, risk models, security-testing approaches, relevant attack and testing tools, legal and organisational requirements, and ethical, social, professional and sustainability considerations. The pre-engagement section covers the test-rig setup and testing strategy. The engagement section requires practical comparison and demonstration of operating-system and network security, including user authentication, file and directory permissions, protection against stack-overflow attacks, network weaknesses, operating-system discovery, firewalls, listening ports, network statistics, prevention of denial-of-service attacks and scripting for automation. The post-engagement section requires a summary of the work, deductions and limitations, mitigation measures and recommendations, and personal reflection. The assessment requires students to use relevant sources, provide a bibliography and demonstrate appropriate analysis, evaluation and reflection. The assignment is designed to assess learning outcomes relating to knowledge of network security threats and the development of complex software and scripts relevant to operating systems and computer networks.
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Ethical Hacking
2,500 words
Ethical Hacking – Professional Penetration Testing Report
This resit coursework for the Ethical Hacking module at Coventry University requires students to conduct a professional penetration testing examination of a small office environment represented by a number of virtual machines. The purpose of the assessment is to evaluate the security of the target environment, identify vulnerabilities, demonstrate appropriate exploitation techniques within the authorised assessment environment, and produce professional recommendations for improving the security of the systems. The assignment carries 15 credits and requires a report of approximately 2,000 words, with a permitted variation of ±10%. The report should follow a structured penetration-testing approach. The first section covers reconnaissance and target analysis, requiring students to investigate the target environment and identify its structure, services and potential attack surfaces. The marking criteria emphasise the use of appropriate tools to identify network structure and services and the identification of vulnerabilities during the scanning process. Students are expected to analyse the results rather than simply reproduce the output of scanning tools. The second section focuses on exploitation. Students must describe in detail the steps taken and the tools used to exploit relevant vulnerabilities identified during the assessment. The marking criteria distinguish between compromising the desktop and gaining access to the server, with higher achievement involving multiple relevant vulnerabilities and successful access through more than one vulnerability. The report should provide appropriate screenshots and sample sessions to support the findings. The third section addresses post-exploitation activities. Students are required to document and analyse activities carried out after gaining access to the target systems. Examples identified in the marking criteria include dumping password hashes and creating a persistent backdoor. For server assessment, the criteria also consider activities such as obtaining root access or establishing a persistent connection. The report should explain the significance of the activities rather than merely listing technical actions. The fourth section provides recommendations for securing the target machines. Recommendations must address all vulnerabilities identified during the assessment, not only vulnerabilities that were successfully exploited. Security issues should be discussed using an established risk-rating approach such as OWASP, and proposed countermeasures should be relevant to the specific vulnerabilities discovered. The report should also analyse how vulnerabilities relate to one another and fit within the wider security context. The final section presents the conclusions, including an evaluation of the penetration-testing work and alternative approaches that could have been taken. The overall learning outcomes require students to critically discuss the legal, technical and ethical scope of ethical hacking, evaluate penetration-testing methodologies and security assessment tools, analyse vulnerabilities, and professionally report penetration-test outcomes with suitable countermeasures.
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Secure Design and Development
2,000 words
Secure Design and Development – PixelForge Nexus (UITS)
This assessment for Coventry University’s Secure Design and Development module requires students to design and develop a functional secure online system with the aid of a Large Language Model (LLM). The assignment is based on a practical scenario involving Creative SkillZ LLC and its proposed “PixelForge Nexus” system. The submission combines a functional prototype, an individual 2,000-word report, source code hosted in the Coventry University GitHub environment, and a video report demonstrating the completed prototype. The PixelForge Nexus prototype is intended to provide secure project management and basic asset and resource management for a game-development environment. Core functionality includes adding and removing projects, viewing active projects, assigning developers to projects, allowing developers to view their assigned projects, uploading project documents, and allowing authorised users to access documents associated with their projects. The system must implement privilege separation between Admin, Project Lead and Developer roles. Security is a central requirement of the assignment. Administrators are responsible for managing projects and user accounts, Project Leads can assign developers and upload project documents, while Developers can view assigned projects and associated documents. The system must include a robust login mechanism with secure password hashing and storage, with Multi-Factor Authentication recommended as an additional security measure. Proposed pages include Sign In/Register, a role-based User Dashboard, Account Settings and a Project Details page. The practical assessment evaluates four major areas: System Design, Security Testing and Analysis, System Development, and Formal Methods. System design requires consideration of secure design principles and their application to the development lifecycle. Security testing requires critical evaluation of security techniques, identification of issues and proposed mitigation measures. System development requires a functional prototype that follows the proposed design and considers legal and ethical requirements. Formal methods require a behavioural model and appropriate verification techniques to establish whether the system meets its specification. The individual report must document the methods and techniques used to develop the prototype and discuss the stages of the development lifecycle, including specification, design and development. It must also explain the deployment and testing approach, limitations of the prototype, possible improvements, security techniques and the formal model used. The submission must include links to the Coventry University GitHub repository and Microsoft OneDrive video, while the required appendix contains the LLM prompt history and other resources used with APA-style referencing.
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Digital Forensics / Cybersecurity
2,000 words
AI-Augmented Digital Forensics Workflow Audit: Feasibility and Risk Assessment of ForensiScan AI
This digital forensics assessment examines the feasibility, reliability and legal risks associated with introducing AI-assisted analysis into a conventional forensic investigation workflow. Students act as a Lead Forensic Consultant assessing a proposed black-box system called ForensiScan AI, which claims to automatically classify illicit images and identify suspicious intent within encrypted messaging applications using Large Language Models. The central objective is to determine whether the efficiency benefits of AI can be achieved without compromising evidential integrity, transparency or legal defensibility. The report maps the proposed AI system across the four stages of the NIST forensic process: Collection, Examination, Analysis and Reporting. For each phase, students identify the data entering and leaving the AI system and determine whether the technology should be used for preliminary triage or as part of final forensic analysis. A major component concerns verification and validation. Because AI systems may hallucinate or misclassify evidence, students must design a ground-truth protocol involving human verification, statistical sampling and known datasets. The assessment also investigates whether AI-generated results can be reproduced reliably when identical evidence is processed again. The report further addresses chain of custody and data integrity, particularly whether AI processing could alter timestamps, metadata or other forensic artefacts. Ethical and legal analysis covers potential model bias, language and contextual limitations, and whether AI-generated outputs could satisfy the requirements of the Daubert Test for expert evidence. Overall, the assessment combines digital-forensic architecture, AI governance, evidential integrity, model validation, legal admissibility and professional accountability. The grading criteria place particular emphasis on forensic soundness, protection against evidence alteration, critical analysis of AI limitations such as hallucination and non-determinism, and professional technical communication. Overview word count: approximately 340 words. AI-use note: the brief permits AI only for limited assistance such as brainstorming risks, structural feedback and grammar refinement. It explicitly prohibits full report generation, unverified forensic claims and using AI to substitute for the student's own final recommendation or verification protocol. Any AI use requires an appendix containing the tool, exact prompts and a human verification log.
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Cyber Security / Cloud Management
2,500 words
Cyber Security and Cloud Defence Strategy for ShieldSafe Analytics
This Level 7 Cyber Security for Business and Cloud Management portfolio examines the security challenges faced by ShieldSafe Analytics Ltd., a multinational health analytics organisation specialising in AI-enabled diagnostics and telehealth. The organisation processes high volumes of sensitive patient information, including biometric and genomic data, across hybrid-cloud environments and IoT-enabled healthcare infrastructure. Following a suspected data-exfiltration incident involving anomalous traffic from a diagnostic platform connected to third-party cloud APIs, students are required to evaluate the organisation's information environment and develop appropriate cyber-security and cloud-defence strategies. The first task focuses on information environments and the weaponisation of information. Students identify critical elements of ShieldSafe's information environment, evaluate vulnerabilities associated with the data-exfiltration incident and examine how patient data or analytical systems could be manipulated by malicious actors. Relevant real-world healthcare cyber incidents should be used to support the analysis. The second task examines offensive and defensive Information Operations. Students analyse techniques used by nation-state actors and cybercriminal organisations, including healthcare ransomware incidents such as WannaCry, and compare offensive and defensive approaches. The analysis considers how ShieldSafe can balance these approaches while protecting sensitive data and preserving trust in AI-enabled diagnostic systems. The third task applies Information Operations within legal and ethical boundaries and requires development of a secure cloud migration strategy for ShieldSafe's legacy Electronic Health Record system. The supporting student guide specifically permits students to demonstrate an implementation using Amazon AWS, including IAM users and roles, VPC configuration, security groups, web servers, EC2 instances and AWS migration services. The final task requires a comprehensive cyber-defence strategy, including implementation of Zero Trust Architecture across cloud platforms and analysis of vulnerabilities affecting cyber-physical healthcare systems such as wearable medical devices and diagnostic equipment. Students must propose controls against both remote and local attacks. Overall, the portfolio integrates information operations, healthcare cybersecurity, hybrid-cloud protection, secure migration, Zero Trust, cyber-physical security and strategic cyber defence. The work is produced as a portfolio report using PebblePad and must use Harvard referencing throughout, with appropriate citation of academic sources, images, definitions and external arguments.
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Computing and Digital Technologies
3,000 words
Contemporary Computing and Digital Technologies: AI Agents Hackathon Reflective Report
This postgraduate reflective assessment forms part of the Contemporary Computing and Digital Technologies module and is based on experiential learning undertaken through an AI-focused hackathon. The hackathon theme, “AI Agents Unleashed – Building the Future of Automation,” requires MSc students from computing-related disciplines to collaborate on intelligent agent-based solutions capable of automating complex tasks, solving real-world problems and supporting human decision-making. The hackathon encourages students to investigate agent-based system design, intelligent automation and responsible AI development. Potential applications include autonomous cybersecurity monitoring, multi-agent systems for information gathering and decision support, automated data pipelines, intelligent software-development assistants, and conversational systems such as virtual tutors or career coaches. Students may use code-based approaches or platforms such as Flowise, Microsoft Power Automate and Make.com, while more advanced implementations can use technologies including LangChain, AutoGen, Python-based agent SDKs, APIs and large language models. The 3,000-word Individual Reflective Report, worth 70% of the module assessment, evaluates the student's learning and professional development arising from these experiential activities. The first component is a 2,000-word Portfolio of Evidence, requiring evidence-based reflection on participation in the hackathon. Students should evaluate their leadership and teamwork competencies using concrete evidence such as screenshots, code commits and feedback while identifying key lessons for personal and professional development. They must also consider how the experience applies to future research, career development or professional practice. The remaining 1,000 words comprise a Critical Self-Reflection examining the student's personal contribution and achievement of learning-contract goals. Students are expected to critically consider challenges encountered, how those challenges were addressed, lessons learned and their development as effective collaborative team members. Overall, the assessment integrates technical experimentation, reflective practice, teamwork, leadership, professional development and responsible use of emerging AI technologies, supported by a structured portfolio of evidence
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Data Science / Deep Learning
3,000 words
Advanced Research Topics (7PAM2016) — Building GANs from Scratch and Applying Them to Medical Imaging, Network Traffic and Sketch Generation
This Masters-level assessment asks for a complete generative adversarial network study, delivered as an annotated code submission carrying sixty per cent of the marks and a six-to-eight page technical report carrying the remaining forty. The work spans four separate GAN implementations, moving from a controlled synthetic setting into three contrasting real-world application domains. Part one builds a GAN from scratch in PyTorch on synthetic two-dimensional data. The tutorial sine-wave generator is reproduced first as a baseline, then a new distribution is modelled — a noisy parametric curve of the form y = sin(2x) + 0.3cos(5x) with an additive noise term — before the architecture itself is varied. Activation functions and layer depth are altered systematically and the resulting sample distributions plotted against the originals, so the effect of each architectural choice on convergence and sample fidelity can be seen rather than asserted. Part two applies the same principles at scale across three domains. The medical strand trains a DCGAN on the OCTMNIST subset of MedMNIST, generating synthetic optical coherence tomography retinal images, tracking generator and discriminator losses across training, and evaluating output both visually and quantitatively using Fréchet Inception Distance. A conditional GAN extension conditions the generator on class label so that images for a chosen retinal pathology can be produced on demand. The cybersecurity strand shifts from images to feature vectors, using preprocessed CICIDS 2017 network intrusion data. Benign and DoS traffic is combined and explored for class balance, a GAN is built to synthesise tabular feature vectors rather than pixels, and real against generated distributions are compared through PCA and t-SNE projections, with a discussion of how well the model generalises across attack types. The creative strand trains a DCGAN on the QuickDraw 'birthday cake' sketch category, tracking visual outputs epoch by epoch and benchmarking generated sketches against real ones, with an extension covering additional categories of differing sketch complexity. The accompanying report explains the analysis steps and the reasoning behind each architectural decision rather than restating textbook definitions of the method. It gives brief descriptions of the models used, presents generated samples and loss curves as figures, interprets the evaluation metrics, and reflects honestly on failure modes — training instability, mode collapse, and the visible flaws in synthetic output that determine whether such data is fit for downstream use. The code is written as reusable functions, commented for a reader other than its author, and reproduces every figure and numerical value quoted in the report.
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Research Methods
Cybersecurity attacks on internet of medical things networks for healthcare services Change the title properly
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Cyber Security for Business and Cloud Management
This activity aims to assess your comprehension of the diverse concepts discussed in this module. You must use the frameworks and concepts covered in this module's delivery to respond to all the tasks below. Scenario ShieldSafe Analytics Ltd. is a fast-growing health analytics company specialising in AI-driven patient diagnostics and telehealth platforms. Operating across multiple countries, the company processes high volumes of real-time patient data, including biometric and genomic records. Due to the increased reliance on remote healthcare and IoT-enabled medical devices, their infrastructure has expanded into hybrid cloud environments. Recently, ShieldSafe experienced a suspected data exfiltration incident involving anomalous traffic from one of its diagnostic platforms integrated with third-party cloud APIs. As a result, executive leadership has raised concerns about the company’s vulnerability to adversarial information operations, particularly in relation to data manipulation, misinformation, and insider threats. As a Junior Cybersecurity Strategist, you’ve been recruited to support the lead cyber intelligence consultant in reviewing vulnerabilities within their information environment, exploring offensive and defensive Information Operations (IO) concepts, and crafting robust cyber defence mechanisms. The leadership also wants to migrate a legacy electronic health record (EHR) system used across its African operations to a more scalable and secure cloud infrastructure. However, concerns exist regarding cross-border data protection laws, insider threats, and the strategic use of information in potential cyber warfare scenarios.
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L7 Cyber Security for Business and Cloud Management
This activity aims to assess your comprehension of the diverse concepts discussed in this module. You must use the frameworks and concepts covered in this module's delivery to respond to all the tasks below. Scenario ShieldSafe Analytics Ltd. is a fast-growing health analytics company specialising in AI-driven patient diagnostics and telehealth platforms. Operating across multiple countries, the company processes high volumes of real-time patient data, including biometric and genomic records. Due to the increased reliance on remote healthcare and IoT-enabled medical devices, their infrastructure has expanded into hybrid cloud environments. Recently, ShieldSafe experienced a suspected data exfiltration incident involving anomalous traffic from one of its diagnostic platforms integrated with third-party cloud APIs. As a result, executive leadership has raised concerns about the company’s vulnerability to adversarial information operations, particularly in relation to data manipulation, misinformation, and insider threats. As a Junior Cybersecurity Strategist, you’ve been recruited to support the lead cyber intelligence consultant in reviewing vulnerabilities within their information environment, exploring offensive and defensive Information Operations (IO) concepts, and crafting robust cyber defence mechanisms. The leadership also wants to migrate a legacy electronic health record (EHR) system used across its African operations to a more scalable and secure cloud infrastructure. However, concerns exist regarding cross-border data protection laws, insider threats, and the strategic use of information in potential cyber warfare scenarios.
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