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UBCSG is recognised jointly by the National Cyber Security Centre (NCSC) and the Engineering and Physical Sciences Research Council (EPSRC) as an Academic Centre of Excellence in Cyber Security Research, and hosts a Centres for Doctoral Training in Cybersecurity.The successful candidate will join a dynamic and growing research and student community.Please select on the Programme Choice page and enter details of the studentship when prompted in the Funding and Research Details sections of the form with the name of the supervisor.
Feature selection in network intrusion detection using metaheuristic algorithms. "Feature selection in network intrusion detection using metaheuristic algorithms." International Journal of Advance Research, Ideas and Innovations in Technology 4.4 (2018).
With the rapid development of vehicle intelligent and networking technology, the IT security of automotive systems becomes an important area of research.
Such a framework should also identify a set of minimum required properties that an IDS should fulfil.
The group: The successful candidate will join the University of Bristol Cyber Security Group (UBCSG).
In order to validate the efficiency of the proposed intrusion detection system, the experiment is setup in the real environment of electric vehicle, in which the attack model and the intrusion detection system are mainly implemented in an emulated gateway, and the attacks are mounting through OBD-II port to the network of the electric vehicle.
Through several experiment of attacks, the results show that the designed system for network intrusion detection can effectively detect the abnormal behavior of CAN bus network.
Therefore, we need to develop mechanisms to respond quickly and accurately to intrusions.
Our recent research efforts have focused on the development of provenance-based intrusion detection systems (IDS).
One of the major hurdles when one works on developing an IDS as an academic is how to accurately and fairly evaluate the system.
In other words, to measure “how well” a given system behaves and compare this system against previously proposed approaches.