Abstract
Researchers in the field of artificial cognitive systems have persistently tried to adopt mechanisms and paradigms deployed in biological systems. Artificial neural network is one of the early examples adopting brain cell architecture and its computational practices. Similarly, Human Immune System (HIS) can be adopted for intrusion detection systems (IDS). The HIS recognizes and tries to eliminate external entities such as bacteria and viruses and works towards defending it from such threats. Detection and prevention mechanisms from HIS has been studied and adopted for Wireless Sensor Networks (WSN). Three well known techniques in the field of HIS-based IDS are studied and their adaptability to WSN’s is reported. These techniques include prominent immune models such as Negative Selection, Positive Selection, Danger Theory and Clonal Selection.
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