Key details
Dennis Ivory
Lecturer in Cyber Security
Dennis Ivory is a Lecturer in Cyber Security, with a particular interest in human-centric cyber security, especially the human factors influencing security in emerging technologies.
He has contributed as a researcher to several major projects, including the EU Horizon 2020 TRILLION project on secure collaboration between citizens and law enforcement, and the EPSRC CHAI project on cyber hygiene for AI systems in domestic environments. He is currently involved in the Innovate UK PRESENZA project, which focuses on developing secure age verification mechanisms for XR platforms.
Dennis is also completing a PhD (viva successfully completed) at the University of Greenwich after being awarded a Vice Chancellor’s scholarship, at the same institution where he previously undertook a research internship exploring the forensic analysis of consumer and IoT devices to uncover extractable data and potential security weaknesses and obtained a BSc in Computer Security and Forensics.
Responsibilities within the university
Lecturer in Cyber Security
Dennis Ivory leads and teaches a range of modules in Digital Forensics, Cyber Security, Penetration Testing, and Networking. His responsibilities include delivering lectures and laboratory sessions, providing feedback to students, developing teaching and assessment materials, and equipping learners with the knowledge and practical skills required for success during their studies and in their future careers.
These responsibilities cover the following modules:
- Cyber Crime and Digital Forensics (Module Leader)
- Computer and Communication System (Co-Module Leader)
- Network Security
- Computer Forensics
- Penetration Testing and Ethical Vulnerability Scanning
- Undergraduate and post-graduate projects
Research / Scholarly interests
Research Topics
- Internet of Things
- Human-as-a-security-sensor (HaaSS)
- Human-in-the-loop (HITL)
- Online Privacy
- Digital Forensics
- Enabling HaaSS through IoT activity recognition
- Supporting HaaSS in AI attack diagnostics
- Predicting human ability to detect attacks on AI platforms
Recent publications
Article
Vasalou, Asimina , Benton, Laura, Serta, Ana, Gauthier, Andrea , Besevli, Ceylan , Gill, Rea , Payler, Rachael , Roesch, Etienne , McAreavey, Kevin , Bauters, Kim (2024), Doing cybersecurity at home: a human-centred approach for mitigating attacks in AI-enabled home devices. Elsevier. In: , , , . Elsevier, Computers and Security, 148: 104112 ISSN: 0167-4048 (Print), (doi: https://doi.org/10.1016/j.cose.2024.104112).
Book section
Ivory, Dennis , Loukas, George, Gan, Diane (2024), Enabling the Human-as-a-security-sensor paradigm in the Internet of Things. Springer. In: , , In: Nikolaos Pitropakis, Sokratis Katsikas (eds.), Security and Privacy in Smart Environments. Springer, Cham, Switzerland , 14800 (1st) . pp. 75-97 . ISBN: 9783031667077; 9783031667084 (doi: https://doi.org/10.1007/978-3-031-66708-4_4) NB Item availability restricted.