A method inspired from differential coefficient for calculating danger signals in Artificial Immune System

Artificial Immune System is a computational system which is inspired from vertebrate immune system. For the characteristics of adaptability and diversity, Artificial Immune System is used to solve engineering problems, especially computer security problems. Danger Model is a new research focus of Artificial Immune System which is inspired from innate immune system. Previous researches have proved that Danger Model is effective in intrusion detection. The calculation of danger signals is the kernel of Danger Model, which is not effectively solved. In this paper we considered that danger comes from changes. Staring from monitoring the changes of computer systems, inspired from the principle of differential calculus, a calculating method based on changes is presented. Preliminary experiment has proved that such a danger signal calculating method based on changes can detect a certain kind of Trojan in Windows XP successfully, without any priori knowledge.

[1]  KimJungwon,et al.  Immune system approaches to intrusion detection --- a review , 2007 .

[2]  Stephanie Forrest,et al.  Infect Recognize Destroy , 1996 .

[3]  Julie Greensmith,et al.  DCA for bot detection , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

[4]  Julie Greensmith,et al.  Immune system approaches to intrusion detection – a review , 2004, Natural Computing.

[5]  P. Matzinger.  The Danger Model: A Renewed Sense of Self , 2002, Science.

[6]  Julie Greensmith,et al.  The dendritic cell algorithm , 2007 .

[7]  Uwe Aickelin,et al.  libtissue - implementing innate immunity , 2006, 2006 IEEE International Conference on Evolutionary Computation.

[8]  Julie Greensmith,et al.  Dendritic cells for SYN scan detection , 2007, GECCO '07.

[9]  Jamie Paul Twycross,et al.  Integrated innate and adaptive artificial immune systems applied to process anomaly detection , 2007 .

[10]  P. Matzinger.  Tolerance, danger, and the extended family. , 1994, Annual review of immunology.

[11]  Jonathan Timmis,et al.  Artificial Immune Systems: A New Computational Intelligence Approach , 2003 .