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  Intrusion Detection for industrial Internet of Things


   Department of Computer Science

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

With the development of the Industrial Internet-of-Things (IIoT), an increasing number of industrial control systems (ICSs) are connected to the Internet and in danger of being attacked. This PhD project aims to study the detection of intrusion attacks which never occur before, commonly called zero-day attack. Furthermore localisation of the attack for IIoT will be also investigated in order to eliminate the influence caused by the attack as quickly as possible. The research group has achieved significant progress in this field and would like to recruit more researchers to join the team for further investigation. 

Qualification:

First degree in Computer Science, Control Engineering, Electrical Engineering and Mathematics with 2:1 or above. MSc degree in the relevant subject areas is desired.

Enquiries for further details contact: Professor Shuang-Hua Yang ()


Computer Science (8) Information Services (20) Mathematics (25)

Funding Notes

There is no funding associated with the PhD study. However applicants are encouraged to apply for funding from any funding bodies.

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