Skip to main content Skip to footer

Garikayi Madzudzo


My research interests include cyber security management, digital forensics, systems security and computer networks. My research lie in the area of cyber security management, mainly on but not limited to Automotive Cyber security. I am interested in investigating the difficulties of cyber security in automotive electronics, vehicle control systems, Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) communications and the protocols used in in-vehicle networks. I am interested in investigating the shortcomings of the CAN protocol (Controller Area Network) the defacto standard serial communication protocol used in in-vehicle networks in modern automotives. My research aims to explore both physical and remote cyber threats and attack vectors used in connected cars, autonomous automated vehicles and cooperative automated vehicles. It seeks to understand threats and effects, to discover how to embed security through all stages of software and hardware value chains and to develop strategies to segregate critical systems from non-critical systems. It seeks to prioritise risks and countermeasures of automotive cyber threats. My supervisory team consists of Dr Jason Ferdinand (Director of Studies) and Dr Alexeis Garcia-Perez.


Garikayi Brasington Madzudzo is currently a PhD candidate researching on Cyber Security Management within the Faculty of Business and Law. From an original back ground in Computer Science, Garikayi completed his BSc in Networking and Mobile Computing before successfully completing with a Distinction an MSc in Computer Forensic. Prior to pursuing his PhD, Garikayi spent three years teaching within the Faculty of Engineering and Computing at Coventry University, where he was involved with the planning and delivery of Digital Forensics and Computer Networking modules within the Faculty. Garikayi obtained his Postgraduate Certificate in Academic Practice in Higher Education (PGCert) in 2015, and he is also a qualified Cisco Instructor and a certified (A.C.E) AccessData Certified Examiner. 

 Queen’s Award for Enterprise Logo
University of the year shortlisted
QS Five Star Rating 2023