Research on Identification Method and Device with Active Immune Attack

Abstract

Abstract The large-scale establishment of charging devices facilitates the use of electric vehicles and promotes the development of the new energy industry. However, the core chips of most domestic charging devices use imported chips. There may be little-known backdoors in the chips, which may hide large loopholes. Once a cyber war occurs, the consequences are unimaginable. At the same time, with the intelligence and informationization of the power grid, various network attack methods are emerging, and the charging device is located in the public environment, which is vulnerable to various attacks. These attacks may sneak into the internal management system of the charging device and steal other user information, or modify your account balance for unlimited charging through virus intrusion, or even invade the power grid, causing grid failure. Aiming at the above problems, this paper adds the network attack detection module based on stack automatic encoder to the charging device to detect the data flow in the charging device in real time, mine and identify the hidden attacks in the data stream, so as to avoid the attacker further intruding the upper system through the security vulnerability of the charging device, and to improve the information security and operation reliability of the charging device, to a certain extent, it also ensures the safety of the power grid.