Dr Nancy Scheidt

Biography

Nancy is a Lecturer in Criminology. She joined the University in August 2022. She obtained her BSc (Hons) in Criminology and Forensic Studies and MSc in Forensic Information Technology at the University of Portsmouth. At the same University, Nancy achieved her PhD in the research area of Internet of Things (IoT) Forensics in Summer 2022.

She has teaching experience in a variety of different areas, including but not limited to; Hybrid Systems, Networks, Forensic Information Technology (computer and mobile forensics) as well as Crime, Media and Culture. Nancy is also a Module Leader for subjects such as Cybercrime and Cybersecurity, Volunteering and Academic Skills, to name a few. She supervises undergraduate and postgraduate dissertations and teaches across the department from foundation year to the MSc in Applied Criminology.

Nancy’s research interest focuses on the challenges and developments of IoT Forensics and the necessary training coming along with such, being government authorities or the private industry. Additionally, her interest expands into understanding not only the methods but also the psychology side of things.

Areas of expertise

• Digital and IoT Forensics
• Cybercrime (Internet enabled and dependent crimes)
• Formal Method

Publications

Journal Articles

Scheidt, N., and Adda, M. (2020). Framework of confidence values during digital forensic investigation processes. WSEAS Transactions on Systems and Control, 15, 228-234.

Conference Papers

Scheidt, N., Adda, M., Chateau, L., and Kutlu, Y. E. (2021, August). Forensic Tools for IoT Device Investigations in regards to Human Trafficking. In the proceedings of the 2021 IEEE 5th International Conference on Smart Internet of Things (SmartIoT) (pp. 1-7).

Ali, O., Scheidt, N., Gegov, A., Haig, E., Adda, M., and Aziz, B. (2020, December). Automated Detection of Racial Microaggressions using Machine Learning. In the proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI) Conference (pp. 2477-2484).

Scheidt, N., Akkuzu, G., and Adda, M. (2020, August). Making decision on sharing forensic data with the fuzzy logic approach. In the proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS) (pp. 44-50).

Scheidt, N., and Adda, M. (2020, August). Identification of IoT Devices for Forensic Investigation. In the proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS) (pp. 165-170).

Book Chapters

Scheidt, N. (2024). Friend or Foe?: How Anti-Digital Forensics vs. Digital Forensics Make or Break a Case. In Cases on Forensic and Criminological Science for Criminal Detection and Avoidance (pp. 356-378). IGI Global.

Scheidt, N. and Adda, M. (2021). Threats in Industrial IoT. In S. Shiaeles and N. Kolokotronis (Eds.), Internet of Things, Threats, Landscape, and Countermeasures (1st ed., pp. 137–166). CRC Press.