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Cyber evidence intelligence signalling

  • Full or part time
  • Application Deadline
    Friday, March 29, 2019
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

Across many critical sectors, organisations face a spectrum of cyber security threats, from advanced persistent threats from nation states, through to organised cyber-crime. The associated cost in terms of compensated losses, service downtime and the costs associated with highly skilled teams, runs into billions of pounds per year in the UK alone. Furthermore, it is especially challenging for these teams to mitigate and investigate these threats, given tightly controlled information sharing environments. For example, in some sectors, different departments may not be allowed to share vital evidence that includes personal information. This difficulty increases when trying to share such evidence between institutions and indeed between allied nation states. What mechanisms and platforms might be developed that allow parties to signal mutual evidence without explicitly revealing evidence details? How might teams work together, while preserving the confidentiality of personal information?

The objectives of this project are:
• To research and review the state-of-the-art in terms of evidence-sharing strategies and methodologies
• To elicit requirements and design a prototype evidence-sharing platform
• To implement an evidence-sharing prototype
• To analyse the utility, efficacy, benefits and limitations of the prototype

The Centre for Excellence in Cyber Security Education and Culture (CECEC) at Kingston University offers this fully funded, 3 year PhD studentship that includes university fees and a stipend. CECEC is at the epicentre of a growing expertise in cyber security at Kingston University, both in terms of exciting, multidisciplinary research, and innovative undergraduate and postgraduate cyber security programmes. This PhD research project is considered to be an integral part of CECEC’s ongoing and future success

For further details and to discuss a prospective application, please contact: Professor James Orwell, Kingston University, UK.
Email:

Interviews: week beginning 29 April 2019

Expected start date: to be confirmed

Duration: 3 years full-time

How to apply: download an application form from https://kingston.box.com/s/nf2mwbh0xrxes4hto5ijpput0unov8y4 . This must be emailed to together with the following:

• An academic CV
• Copies of your academic certificates (degree level onwards)
• A covering letter stating why you consider you are suitable for the position (maximum 2 pages A4)
• A copy of your English language qualification, if applicable (see ‘English Language’ above)

If you wish to apply for more than one project, a separate application must be submitted for each.

References do not need to be included with the application, but will be required for shortlisted applicants.

Please ensure that all required documents are submitted together with your application form as we are unable to consider incomplete applications.

You should assume that your application has been unsuccessful if you have not heard from us by 4 weeks after the closing date.


Funding Notes

UK/EU fee plus £16,777 annual stipend

Minimum Upper Second Honours degree or above (or equivalent) in Computer Science or related discipline. In addition, applicants should be able to demonstrate an active interest in Cyber Security, have excellent programing skills in Java, Python, web and data modelling applications, and some proficiency in mathematics.

If you are not from an English-speaking country, or have not studied at a British university before, you must show proof of internet-based IELTS 6.5 overall (or equivalent qualification). IELTS minimum score 6.0 in Writing and 5.5 in all other elements. Please see View Website for further information

Related Subjects

How good is research at Kingston University in Computer Science and Informatics?

FTE Category A staff submitted: 10.20

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

Click here to see the results for all UK universities

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