Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection

✍ Scribed by Kamran Shafi; Hussein A. Abbass

• Publisher: Elsevier Science
• Year: 2007
• Tongue: English
• Weight: 215 KB
• Volume: 12
• Category: Article
• ISSN: 1363-4127
• DOI: 10.1016/j.istr.2007.09.001

✦ Synopsis

The pervasiveness of the computing power has made it an inevitable commodity of the modern time. The inexorable technological advances clearly predict the continually increasing reliance of human life on the computing systems in the future. Intelligent portable devices are commonplace these days and information accessibility is ubiquitous. There is a network underlying any computer infrastructure. Complex Adaptive Systems (CAS) are a relatively new field with techniques inspired by Biology, Sociology and other fields. The field of CAS studies systems as a network of interdependent components. There has been a major breakthrough in the field of Network Intrusion Detection Systems (NIDS) in computer security through the adoption of a CAS perspective. This paper surveys some key work in this area with the primary focus being placed on biologically-inspired CAS approaches to NIDS.