TY - JFULL AU - R. Sridevi and G. Jagajothi PY - 2014/11/ TI - Apoptosis Inspired Intrusion Detection System T2 - International Journal of Computer and Information Engineering SP - 1889 EP - 1896 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/10000033 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 94, 2014 N2 - Artificial Immune Systems (AIS), inspired by the human immune system, are algorithms and mechanisms which are self-adaptive and self-learning classifiers capable of recognizing and classifying by learning, long-term memory and association. Unlike other human system inspired techniques like genetic algorithms and neural networks, AIS includes a range of algorithms modeling on different immune mechanism of the body. In this paper, a mechanism of a human immune system based on apoptosis is adopted to build an Intrusion Detection System (IDS) to protect computer networks. Features are selected from network traffic using Fisher Score. Based on the selected features, the record/connection is classified as either an attack or normal traffic by the proposed methodology. Simulation results demonstrates that the proposed AIS based on apoptosis performs better than existing AIS for intrusion detection. ER -