Soft computing techniques are widely used in malware detection in these days. These techniques have the ability of learning from the past incidences and can categories normal and abnormal behaviour. In this paper we have reviewed various soft computing techniques. A review of application of these soft-computing techniques in malware detection has also been presented in this paper. Despite so much research, techniques with good accuracy and low false alarm rate are still needs attention.

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malware malware detection soft computing machine learning anomaly detection