Towards an efficient approach using graph-based evolutionary algorithm for IoT botnet detection

In recent years, a large number of Internet Things devices are used in life, many which vulnerable to attacks from security perspective. Botnet malware is one the main threats IoT devices. Hence detection botnet most important challenge for This paper proposes an approach base on PSI graph data combine with evolutionary algorithm-based technique. To best our knowledge, there have been no studies that algorithms support detecting multi-architecture botnet. The proposed method has achieved good experimental results (i.e., 95.30%). also achieves relatively low false-positive rate at 4.59%.