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Cybersecurity in Vehicle-to-Everything (V2X) Communications

   Department of Computing Science

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  Dr Pradip Kumar Sharma, Dr N Oren  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The functional safety of many intelligent systems, such as autonomous robots and self-driving cars, remains largely dependent on the security and robustness of the trustworthy systems. These systems are expected to operate flawlessly, and hence need to be trained/secured on examples of all possible situational conditions. State-of-the-art methods have shown that cutting-edge technologies dramatically improve the security and robustness of the trustworthy systems against cyber-attacks. This project aims to build scalable, secure, privacy preserving, robust trustworthy systems for safety-critical systems in Vehicle-to-Everything (V2X) communications using cutting-edge technologies such Blockchain, collaborative learning, deep learning, Software-defined Networking (SDN), etc.

Selection will be made on the basis of academic merit. The successful candidate should have, or expect to obtain, a UK Honours degree at 2.1 or above (or equivalent) in Computer Science with good knowledge of programming and mathematical modeling.

Formal applications can be completed online:

• Apply for Degree of Doctor of Philosophy in Computing Science

• State name of the lead supervisor as the Name of Proposed Supervisor

• State ‘Self-funded’ as Intended Source of Funding

• State the exact project title on the application form

When applying please ensure all required documents are attached:

• All degree certificates and transcripts (Undergraduate AND Postgraduate MSc-officially translated into English where necessary)

• Detailed CV, Personal Statement/Motivation Letter and Intended source of funding

Informal inquiries can be made to Dr P Sharma ([Email Address Removed]) with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School ([Email Address Removed])

Funding Notes

This PhD project has no funding attached and is therefore available to students (UK/International) who are able to seek their own funding or sponsorship. Supervisors will not be able to respond to requests to source funding. Details of the cost of study can be found by visiting


Lin, D. J., Chen, M. Y., Chiang, H. S., & Sharma, P. K. (2021). Intelligent Traffic Accident Prediction Model for Internet of Vehicles With Deep Learning Approach. IEEE Transactions on Intelligent Transportation Systems
Sharma, P. K., & Park, J. H. (2020). Blockchain-Based Secure Mist Computing Network Architecture for Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems
Wang, J., Han, H., Li, H., He, S., Sharma, P. K., & Chen, L. (2021). Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G. IEEE Transactions on Industrial Informatics
Sharma, P. K., Park, J. H., & Cho, K. (2020). Blockchain and federated learning-based distributed computing defence framework for sustainable society. Sustainable Cities and Society, 59, 102220
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