|Funding for:||UK Students|
|Funding amount:||£18,800 tax-free stipend per year|
|Placed On:||27th July 2021|
|Closes:||17th December 2021|
This project aims to address the need for near-real-time risk assessment for safe and continuous operation of critical infrastructures, e.g., water, power, transportation, when faced with an ongoing cyber-attack. Such infrastructures were traditionally not connected to the Internet hence the protocols, devices, software, and platforms have not had security as a core design consideration. Increasingly, they are being connected to enterprise systems for improved business process monitoring and optimisation. This convergence has led to several cyber security issues, in turn leading to safety or operational interruptions as evidenced by various high-profile incidents. The critical nature of these systems means that the infrastructure cannot simply be shut down on the first sign of attack and one needs to understand – in near-real-time – the implications of an ongoing attack on safe and continued operation, take mitigating actions and ensure that the infrastructure can keep running (albeit at a reduced capacity) in a safe manner, e.g., through isolation of compromised elements.
This project will develop a near real-time dynamic risk assessment model that maintains an ongoing representation of the security state of an infrastructure system, showcasing the ongoing status of an attack event, its implications in terms of composition with other events, and potential for violation of a safety or operational goal. This will enable not only dynamic risk assessment of an unfolding attack (and effectiveness of countermeasures) but also enable foresight into the potential paths that an attack may take to compromise safety or operational goals and make informed decisions on when an attack has escalated to a point where whole system shutdown is essential.
URL for further information: https://www.bristol.ac.uk/cdt/cyber-security/
How to apply:
Prior to any application, please contact Prof Awais Rashid (firstname.lastname@example.org) to discuss your research proposal to see if it aligns with his current research. No indication of an offer can be made until a completed application has been received.
To apply for this studentship, submit a PhD application using our online application system
Please ensure that in the Funding section you tick “I would like to be considered for a funding award from the Computer Science Department” and specify the title of the scholarship in the “other” box below along with the name of the supervisor. Interested candidates should apply as soon as possible.
Applicants must hold/achieve a minimum of a Master’s degree (or international equivalent) in Computer Science, Safety Critical Systems, Artificial Intelligence/Data Science. Applicants without a master’s qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree. Please note, acceptance will also depend on evidence of readiness to pursue a research degree.
Basic skills and knowledge required:
Essential: Excellent analytical skills and experimental acumen. Strong programming skills and a knowledge of AI/machine learning techniques.
Desirable: A background understanding in safety critical systems or methods for safety analysis such as fault trees.
This is a fully funded 4-year studentship covering:
For EPSRC funding, students must meet the EPSRC residency requirements.
Informal enquiries please contact Prof Awais Rashid (email@example.com)
General enquiries please contact firstname.lastname@example.org
Type / Role: