Improving the speed of the network intrusion detection

Currently with the increasing network attacks, intrusion detection systems (IDS) have became an ordinary component of network security. Artificial immune system (AIS) is a new bio-inspired model with some processes such as negative selection (NS). The NS is based on discrimination of self and non-self patterns which plays an important role for intrusion detection, so it is applied in this field. Since speed and accuracy of detection is the main goal of IDS, in this paper we proposed an improved algorithm for negative selection which will increase the speed of intrusion detection in networks. The experimented results prove the performance of the algorithm.