Cross Layer Techniques for Intrusion Tolerant Networks
Lead Research Organisation:
Queen's University Belfast
Department Name: Sch of Electronics, Elec Eng & Comp Sci
Abstract
The proliferation of wireless networks over the past decade has made security a major concern for these networks and the applications that have to use them. Wireless networks have fundamental characteristics that make them significantly different from traditional wired networks, particularly with regard to security and reliability. Moreover there is an increasing trend for access to services residing on fixed (e.g. enterprise) networks via wireless access. Therefore the design of secure and reliable wireless networks presents a major challenge to the designers of next generation networks with general public wireless access. It is also expected that many future networks will have to live under the threat of attacks as a matter of course. Current research attempts to secure networks against all types of attack, at all times and generally irrespective of the cost to the performance of the network. This research proposal aims to investigate a new type of integrated, flexible, and intelligent security architecture for providing tolerance to intrusion attacks against next generation networks with wireless access. Thus our goal is not to prevent intrusions but to enable network architectures to withstand them. Central to the work will be the design of a distributed Intrusion tolerance system that is based on a cross layer detection and mitigation approach. As such, intrusion detection and mitigation will be integrated within the layered architecture of the network so that the network has an intelligent view of the overall level of threat(s) posed at any time throughout the network. This approach brings a number of significant advantages over existing intrusion detection systems (IDS) particularly when applied to wireless access networks that have to withstand some level of attacks over prolonged periods.
Organisations
People |
ORCID iD |
Alan Marshall (Principal Investigator) |
Publications
Giannoukos S
(2016)
Chemical Sniffing Instrumentation for Security Applications.
in Chemical reviews
Giannoukos S
(2017)
Molecular Communication over Gas Stream Channels using Portable Mass Spectrometry.
in Journal of the American Society for Mass Spectrometry
Giannoukos S
(2018)
A Chemical Alphabet for Macromolecular Communications.
in Analytical chemistry
McGuiness D
(2018)
Parameter Analysis in Macro-Scale Molecular Communications Using Advection-Diffusion
in IEEE Access
McGuiness D
(2018)
Experimental Results on the Open-Air Transmission of Macro-Molecular Communication Using Membrane Inlet Mass Spectrometry
in IEEE Communications Letters
Milliken J
(2013)
Detection and analysis of the Chameleon WiFi access point virus
in EURASIP Journal on Information Security
Milliken J
(2013)
Impact of Metric Selection on Wireless DeAuthentication DoS Attack Performance
in IEEE Wireless Communications Letters
Vosoughi A
(2016)
Trust-Aware Consensus-Inspired Distributed Cooperative Spectrum Sensing for Cognitive Radio Ad Hoc Networks
in IEEE Transactions on Cognitive Communications and Networking
Description | The use of cross layer metrics has enabled a "vectorised" approach to trust management frameworks that can cover a much greater "threat surface" for networks, therefore making them much more resilient to attacks. |
Exploitation Route | (i) further research into trust management frameworks the a multi-vectored in nature and can be applied to IOT paradigms (ii) commercial exploitation |
Sectors | Aerospace Defence and Marine Creative Economy Digital/Communication/Information Technologies (including Software) Electronics Leisure Activities including Sports Recreation and Tourism Manufacturing including Industrial Biotechology Retail Security and Diplomacy Transport Other |
Description | Some of the research lead on to security measures for M2M communications, as used in IoT. This achieved in further impact by: (i) press release of "Chameleon wifi virus", world's first radio spread virus, received extensive press coverage worldwide. (ii) some of the detection mechanisms have been integrated into TOM LTD's "SpriteGuard" product range. This is now used in a number leading 4* and 5* hotels throughout the UK and USA. |
First Year Of Impact | 2013 |
Sector | Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Electronics,Retail,Security and Diplomacy |
Impact Types | Societal Economic |
Description | Queen's University of Belfast |
Amount | £58,000 (GBP) |
Funding ID | independent researcher scholarship EEECS |
Organisation | Queen's University Belfast |
Sector | Academic/University |
Country | United Kingdom |
Start | 09/2012 |
End | 09/2014 |