Network anomaly detection based on TCM-KNN and genetic algorithm

Abstract

A network anomaly detection scheme based on TCM-KNN algorithm was proposed.Moreover,genetic algo-rithm（GA） based instance selection was introduced to boost the detection performance,meanwhile reduce the computa-tional cost for TCM-KNN.A series of experimental results demonstrate the proposed method is effective,the instance se-lection mechanism also improves TCM-KNN and makes it be a good candidate for anomaly detection in practice.

Keywords

• network security;anomaly detection;TCM-KNN algorithm;generic algorithm;instance selection