An artificial immune system approach for malware detection

Abstract

Artificial immune system(AIS) is an efficient solution for network security. In this paper, an artificial immune system approach for malware detection is proposed, which is referred to AISMD. In AISMD, the method to build the profile of benign executables in computer systems is given. Based on the built model of benign executable, the detectors are generated to detect malware. Experimental results show that AISMD is an efficient method to build the profile of benign executable and extract the characteristics of the executable, and has better detecting ability than that of the previous techniques.