| EPSRC Reference: |
GR/S47809/01 |
| Title: |
Danger Theory: The Missing Link Between Artificial Immune Systems and Intrusion Detection |
| Principal Investigator: |
Aickelin, Professor U |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
School of Computer Science |
| Organisation: |
University of Nottingham |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
05 January 2004 |
Ends: |
04 August 2007 |
Value (£): |
657,407
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| EPSRC Research Topic Classifications: |
| Fundamentals of Computing |
New & Emerging Comp. Paradigms |
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| EPSRC Industrial Sector Classifications: |
| Healthcare |
Creative Industries |
| Information Technologies |
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Summary on Grant Application Form |
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The central challenge with computer security is determining the difference between normal and potentially harmful activity. For half a century, developers have protected their systems by coding rules that identify and block specific events. However, the nature of current and future threats in conjunction with ever larger IT systems urgently requires the development of automated and adaptive defensive tools. A promising solution is emerging in the form of Artificial Immune Systems: Our bodies can detect and defend themselves against harmful and previously unseen invaders, so can we not build a similar defence mechanism for our computers? Current Artificial Immune Systems have been successful on test systems, but the algorithms were unable to scale up to real-world requirements. This is caused by their reliability on self-nonself discrimination, as stipulated in classical immunology. However, immunologist are increasingly finding fault with traditional self-nonself thinking and a new 'Danger Theory' is emerging. This new theory suggests that the immune system reacts to threats based on the correlation of various (danger) signals. Little is currently understood of the precise nature and correlation of these signals and the theory is a topic of hot debate. It is the aim of this research to investigate this correlation and to translate the Danger Theory into the realms of computer securitv. therebv creatina Artificial Immune Svstems that are no lonaer limited by self-nonself discrimination.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.nottingham.ac.uk |