Intrusion detection system using hybrid binary PSO and K-nearest neighborhood algorithm

At this time computer networks have been widely used to exchange confidential data information between server to mobile devices and desktop. Although there are several security methods such as access control, data encryption and the use of hardware or software as a firewall, unauthorized access through computer networks to obtain confidential data information is increasing. In this paper, we propose an intrusion detection mechanism based on binary particle swarm optimization (PSO) and k-nearest-neighbor (k-NN) algorithms. Preliminary experiments show that our approach successfully increased up to 2% of accuracy generated by k-nearest-neighbor (k-NN) algorithms.