A cooperative immunological approach for detecting network anomaly
Technology and biological systems have now bi-directional relation that each benefits from the other. Biological systems naturally enjoy many attractive features and inherent intelligence that fit in solving many research problems. The natural immune system as one of those biological systems is considered a good source of inspiration to artificial defense systems. It has its own intelligent mechanisms to detect the foreign bodies and fight them and without it, an individual cannot live, even just for several days. The new types of network attacks evolved and became more complex, severe and hard to detect. This resulted in increasing need for network defense systems, and especially those with unordinary approaches or with ability to face the dynamic nature of new and continuously changing network threats. In this work we investigate different AIS theories and show how to combine different ideas to solve problems of network security domain. An Intrusion Detection System (IDS) that apply those ideas was built and tested in a real-time environment to test the pros and cons of Artificial Immune System (AIS) and clarify its applicability. Also some investigation on the vaccination biological process is introduced. A special module was built to perform this process and check its usage and how it could be formulated in artificial life. (C) 2010 Elsevier B.V. All rights reserved.
network security intrusion detection system artificial immune danger theory