Intrusion Detection System Using Artificial Immune System and New Multi Core Technology

Abstract

Intrusion detection systems (IDS) are nowadays very important for every IT company which is concerned with security and sensitive systems. A perfect IDS has still not been found and it stays a hot and challenging area in computer security research. Recently a new approach started to make its way to intrusion detection, namely the immune system. It has a lot of interesting features we would like to find in IDS. A new artificial intelligence paradigm was new compared to neural networks or fuzzy logic, but it is very promising for different areas in computer science. By abstractly comparing the way an intrusion detection system and the human immune system work, it is noticed some similarities. Within this context it is normal to use as much similarities as possible to improve IDS and to see how to implement the different features; this is where the artificial immune systems paradigm will help. This paper employs a modification method on the artificial immune system which known as LISYS (Light weight Immune System) through the using of new technology of Multi Core processor, the modification was running an individual instance of LISYS on each core of the processor which increase the number of detectors used by each node that used as an AIS node in the network, the experimental results shows that the detection efficiency was well improved.