E-Gemini-V2: a developed malware detector in electric power supervision and control system

In the last decade, network attacks frequently happened in power system, due to significant economic losses to global industrial production. Malware plays an important role in cyber attacks against power system. This paper puts forward EGemini- V2, which is a developed version of our previous research E-Gemini. E-Gemini-V2 model not only expands the contents of E-ACFG proposed in E-Gemini to describe malware, but also improves the detection ability of GAT network. Experiments show that our development’s effectiveness compared to earlier versions. The best accuracy can achieve 91.5%, which is sharply promoted compared to E-Gemini and Gemini models.