Biological Inspiration for Intrusion Detection using System Calls
Anjum Iqbal, and Mohd. Aizaini Maarof, (2004) Biological Inspiration for Intrusion Detection using System Calls. In: Proceedings of the Joint Conference on Informatics and Research on Women in ICT (RWICT) 2004 , 28 - 30 July 2004 , Putra World Trade Center Kuala Lumpur, Malaysia.
Full text not available from this repository.
Universiti Teknologi Malaysia ,Group on Artificial Immune Systems N Security (GAINS) , Faculty of Computer Science and Information Systems
The biological inspirations used to design computational systems and methods have shown promising results, e.g. artificial neural networks, genetic algorithms, and artificial immune systems. In this paper, we are presenting a biologically inspired idea for intrusion detection using system call sequences. The system call sequences of a victim computer system may be considered as genetic sequences of a victim human being under germinal attack The germinal attack produces disease. 5ame as intrusion results in the malfunctioning of a computer system. We should be able to perceive novel methods from biology to tackle this problem. The idea is likely to produce exciting results like its counterparts.
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords:||Biological inspiration, Intrusion detection. System calls. Genetic sequences. Novel analogy.
Repository Staff Only: item control page