Intrusion prevention and self-healing algorithms inspired by danger theory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In this paper, software system, design theories and human immune system (HIS) features are used to introduce a novel algorithm for the problem of preventing intrusions and healing the damage which they cause. The HIS features are analyzed and modelled to monitor network systems as to whether the inline activities are behaving abnormally or being attacked. The abnormal activities are prevented and healed by the presented algorithms. We show how the use of biological immune systems, which incorporate an innate, adaptive immune system and self-healing mechanism, can reduce the number of false alerts and heal the damage caused by intrusion. This autonomous system improves the performance of the current Intrusion Prevention System (IPS) and carries on system continuity by using the Self-Healing (SH) mechanism.

Original languageEnglish
Title of host publication2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Pages843-846
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2nd International Conference on Computer and Automation Engineering, ICCAE 2010 - Singapore, Singapore
Duration: 26 Feb 201028 Feb 2010

Publication series

Name2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Volume5

Conference

Conference2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Country/TerritorySingapore
CitySingapore
Period26/02/1028/02/10

Keywords

  • Artificial immune system
  • Danger theory
  • Intrusion prevention
  • Self-healing

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