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An AIS based anomaly detection system

Artificial immune system(AIS) is inspired from biological immune system(BIS) and has the ability to self-configure, self- learn and self-adapt. Artificial immune system can be used in anomaly detection, threat perception, fraud detection and self-non self discrimination because of its qualities. This paper presents an anomaly detection system based on artificial immune system using negative selection algorithm(NSA). Anomaly detection is the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset. This system uses the technique self tuning with detector power to produce efficient and powerful detectors. This system detect the anomalies by checking data with the efficient detectors. And also clustering is used to correctly identifying the anomalies.