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Adaptive Cyber-Physical Security Towards Resilient Built Environments [Self-Funded Students Only]

   Cardiff School of Computer Science & Informatics

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  Dr C Perera, Prof O F Rana  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

We increasingly rely on Internet of Things (IoT) devices in our daily lives. Smart devices are being deployed everywhere, ranging from smart cities to smart homes. IoT devices are expected to make our lives easier while they allow us to consume resource much more efficiently (e.g., a smart lighting system would help to reduce the overall energy consumption of smart homes). Despite the advantages the IoT devices bring to the smart home domain, they also create substantial risks. Connected devices increase the attack surface significantly. On the other hand, cyber-attacks are becoming increasingly sophisticated and coordinated and make it difficult for traditional attack detection techniques (e.g., Network Traffic Analysis) to detect these attacks.

Current Cyber-Physical anomaly detection systems are not adaptive across different buildings layouts. In this project, you will explore how to combine novel knowledge representation techniques (e.g. ontologies) and swarm intelligence techniques to detective adaptive anomaly detection Techniques that can work across different buildings.

This project would be a collaboration between GCHQ and BRE. You will have an industry supervisor and supported by two other students wok in this area.

Please contact Dr Charith Perera () to discuss your research proposal before submitting your application.

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Academic Criteria:

A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject. Applicants with appropriate professional experience are also considered. Degree-level mathematics (or equivalent) is required for research in some project areas.

Applicants for whom English is not their first language must demonstrate proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.

How to apply:

Please contact the supervisors of the project prior to submitting your application to discuss and develop an individual research proposal that builds on the information provided in this advert. Once you have developed the proposal with support from the supervisors, please submit your application following the instructions provided below

This project is accepting applications all year round, for self-funded candidates via 

In order to be considered candidates must submit the following information: 

  • Supporting statement 
  • CV 
  • In the ‘Research Proposal’ section of the application enter the name of the project you are applying to and upload your Individual research proposal, as mentioned above in BOLD
  • Qualification certificates and Transcripts
  • Proof of Funding. For example, a letter of intent from your sponsor or confirmation of self-funded status (In the funding field of your application, insert Self-Funded)
  • References x 2 
  • Proof of English language (if applicable)

Please contact Dr Charith Perera () to discuss your research proposal before submitting your application.

If you have any questions or need more information, please contact 

Funding Notes

This project is offered for self-funded students only, or those with their own sponsorship or scholarship award.
Please note that a PhD Scholarship may also available for this PhD project. If you are interested in applying for a PhD Scholarship, please search FindAPhD for this specific project title, supervisor or School within its Scholarships category.

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Research output data provided by the Research Excellence Framework (REF)

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