PhD Research Studentship
Improved Visualisation of Network Attacks
Glasgow Caledonian University -School of Engineering and Built
Environment
Reference Number: 11/12_29
Applications are invited for this
full-time PhD research studentship within the School of Engineering and Built
Environment at Glasgow Caledonian University. The studentship is for a
period of three and a half years (42 months), subject to satisfactory progress
and provides payment of tuition fees at the UK/EU rate plus an annual stipend
of £14,600 [please note that students from outside the EU are required to pay
the difference between International and EU fees, currently this would amount
to £6,672 per annum]. The successful candidate is expected to undertake
up to 6 hours of academic support activity per week.
Project Description
As computer networks grow with an increasing number of users and
connecting devices, and a wide variety of communicating applications, it is
becoming increasingly difficult to distinguish between good and bad network
traffic. For criminals, the Internet provides a fertile playground for
nefarious activities in which they can often hide and move about with relative
ease. While there are numerous tools for detecting network attacks, it remains
a challenge to present the information in a manner that facilitates clear and
consistent actions by a network investigator or administrator.
The ultimate goal of this project is to develop new, usable methods for visualising network attacks that take into account the 'human factor'. Such a result will require effort in other areas, such as the source and manner of network data collection, and the method of data analysis so that the project is likely to involve novel contributions in these areas as well.
This project will allow the candidate to be part of a large Scottish networking community and encourage the application of their technical skills to practical problems. The candidate will gain experience in a number of skill areas, including networks, network security, machine learning, human-computer interaction, and visualisation.
The ultimate goal of this project is to develop new, usable methods for visualising network attacks that take into account the 'human factor'. Such a result will require effort in other areas, such as the source and manner of network data collection, and the method of data analysis so that the project is likely to involve novel contributions in these areas as well.
This project will allow the candidate to be part of a large Scottish networking community and encourage the application of their technical skills to practical problems. The candidate will gain experience in a number of skill areas, including networks, network security, machine learning, human-computer interaction, and visualisation.
Required background and/or experience of the candidate:
The candidate should possess a 1st or
2.1 honours degree in engineering or computer science. It is desirable for the
candidate to have strong networking skills to facilitate data collection, and
ideally have some experience with either machine learning or human-computer
interaction techniques. The candidate should also be creative, and
possess a strong curiosity for understanding the behaviour of networks. It is
anticipated that the candidate will liaise with industry and that he/she will
have to travel nationally/internationally for meetings and conference
presentations.
How to Apply:
Application forms are available here and once completed
should be returned to GCUStudentships@gcu.ac.uk
Please state the Project
Title and reference number (as above) on the completed application
form.
The closing date for applications is Friday 7th September;
short-listed candidates will be contacted by 28thSeptember with
interview details.
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