SECURE INFORMATION CENTRIC NETWORKING

Project Summary: 

Information Centric Networking (ICN) represents a transformative concept for the way networks operate. Rather than focus on host-based connectivity, where data is served at an IP address, ICN associates data with names. Data is accessed via names and is cached throughout the network. Deployment and testing of ICN infrastructure is at an early stage, however a number of reference implementations have been proposed.

As a new technology under development, there are a number of security issues that require further research. These include issues such as content poisoning, cache pollution, denial of service, application security, and secure naming routing and forwarding. Further practical investigations of the performance of ICN against practical use-cases are also required to prove the technology.

Objectives:

The main objectives for this PhD project will be to investigate the available ICN reference implementations. The first stages will be to a security comparison between possible approaches, and thereafter investigate methods for improved security. Practical experiments will be conducted as part of this analysis.

This work will complement existing projects within CSIT that are investigating security for industrial control system networks. ICN has the potential to transform industrial network environments, and this environment offers an excellent practical use-case to test the proposed approaches for ICN. Consequently, it is anticipated that practical experiments will be conducted to prove the functionality and security of the proposed solutions within industrial network testbeds within CSIT.

Academic Requirements:

Students entering the programme will normally be required to have a 2.1 BSc/BEng in Computer Science, Electrical and Electronic Engineering, or a maths based engineering or physical science degree, or equivalent qualification recognised by the University. Students holding an appropriate MEng or MSc (Software conversion) will normally be required to have a 2.1 or commendation (distinction) respectively. Furthermore, additional criteria may be applied. All applicants must have significant mathematical and programming experience.

 

General Information: 

This 4 year PhD studentship, potentially funded by the Department for Employment and Learning (DEL), commences on 1 October 2019.

Eligibility for both fees and maintenance depends on the applicants being either an ordinary UK resident or those EU residents who have lived permanently in the UK for the 3 years immediately preceding the start of the studentship. Non UK residents who hold EU residency may also apply but if successful may receive fees only.

Applicants should apply electronically through the Queen’s online application portal at: https://dap.qub.ac.uk/portal/

Further information available at:  http://www.qub.ac.uk/schools/eeecs/StudyattheSchool/PhDProgrammes

Contact Details:

Supervisor Name: Dr Kieran McLaughlin                                                          

Tel: +44 (0)28 9097 1890                                                                           

Email:  kieran.mclaughlin@qub.ac.uk