PhD in Development Of A Framework For Iot Forensics (phd)

University of Portsmouth, established in 1869 and located in the historic coastal city of Portsmouth, offers a vibrant student experience with around 28,000 students, including approximately 5,000 international learners. The university combines strong teaching and research with practical industry links and a waterfront location that enriches campus life. Its long history of technical and professional education makes it a familiar choice for students seeking applied learning in a city with excellent transport links.

Portsmouth provides a range of programs organized across ten broad subject areas, encompassing engineering, business, health professions, creative arts and sciences. Students benefit from industry placements, modern laboratories and career-focused modules that enhance employability. The university also supports research-led teaching and partnerships with local employers, giving international students opportunities to gain real-world experience alongside academic study.

Comprehensive support services help international students with visas, accommodation, language preparation and wellbeing, while student societies and campus activities foster social integration. With practical training options, placement support and access to regional industries and cultural sites, Portsmouth is well suited to students who value both academic quality and hands-on experience. Prospective applicants should investigate program specifics, placement opportunities and scholarship options before applying.

Graduates from the PhD in Development of a Framework for IoT Forensics go on to careers in cybersecurity, digital forensics, and academia, with opportunities in both the public and private sectors. Your work will be based in the School of Computing, supervised by Dr Mo Adda, Dr Alex Gegov, and Dr Rinat Khusainov, and you'll have access to the University of Portsmouth Forensic Lab.

You'll work on a 3-year full-time or 6-year part-time project focusing on machine learning, fuzzy logic, and formal methods, aiming to develop a generic framework for IoT forensics. This framework will be designed to operate in international contexts, handling investigations, imaging, analysis, and reporting, and standing as an expert witness in court. The project builds on existing work, including a Hybrid Forensic IoT Server model and a database tested at the University of Portsmouth Forensic Lab.