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Can We Visualise Cyber Security Like the Weather? (BUCKLEYO1U19SF)

  • Full or part time
  • Application Deadline
    Friday, May 31, 2019
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

Cyber security is a complex subject, which often requires a high-level of technical understanding to fully appreciate a given situation and to make the appropriate decisions going forwards. Cyber security exists in an entirely intangible, and constantly changing environment, can make it difficult to gain much needed insight and understanding of a situation. Traditionally, security visualisation expects the user to have a good level of technical knowledge in order to interpret the situation correctly, which often makes it difficult to communicate security risks and vulnerabilities up the management chain. The majority of research into cyber security visualisation aims to support real-time situational awareness with very little thought given to the constant flux of cyber security data.

A key issue within data visualisation is the use of visual metaphors to convey what can be extremely complicated data to a non-specialist audience. For example, weather forecasting is a very complex process that relies on a great deal of scientific knowledge and understanding. However, something as complicated as the weather is easily accessible to a wide audience thanks to the use of appropriate visual metaphors. This project will look to exploit similar ideas to visualise cyber security data so that the information is understandable and accessible to a non-specialist audience.

This PhD proposal will focus on the use of visual metaphors and other visualisation methods to model cyber security and the uncertainty that is often associated with this data. The research will look to develop an interactive platform that could facilitate the visualisation of uncertainty within cyber security data. The use of visual metaphors will enable the communication of complicated technical data to a wider audience; this in turn will empower users to make informed decisions.

A start date prior to October 2019 is possible, but should be discussed with Dr Buckley in the first instance.

For more information on the supervisor for this project:

Type of programme: PhD
Start date: October 2019
Mode of study: Full-time
Entry requirements: Computer science (or related degree). The standard minimum entry requirement is 2:1.
Application deadline:31 May 2019. NB Applications are processed as soon as they are received and the project may be filled before the closing date, so early application.

Funding Notes

This PhD project is offered on a self-funding basis. It is open to applicants with funding or those applying to funding sources. Details of tuition fees can be found at View Website.

A bench fee is also payable on top of the tuition fee to cover specialist equipment or laboratory costs required for the research. The amount charged annually will vary considerably depending on the nature of the project and applicants should contact the primary supervisor for further information about the fee associated with the project.

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