An unmanned cluster abnormal behavior detection method and device based on a lightweight blockchain consensus, a storage medium, and an electronic device

Abstract

The application provides an unmanned cluster abnormal behavior detection method and device based on a lightweight blockchain consensus, a storage medium and an electronic device, and relates to the technical field of network security. The method comprises the following steps: firstly, analyzing the state data of unmanned equipment in a single coding grouping group by using a neural network model to preliminarily identify the abnormal behavior of a certain unmanned equipment; then, other unmanned equipment in the coding group reconstructs the correct data of the suspicious unmanned equipment based on a local repair code, and compares the actual data of the suspicious unmanned equipment, so as to determine the abnormal behavior of the suspicious unmanned equipment; finally, the blockchain consensus algorithm is used to reach a consensus on the abnormal behavior of the suspicious unmanned equipment in the local repair group, and the credit value of the suspicious unmanned equipment is adjusted by calling an intelligent contract. The application realizes rapid and effective abnormal behavior detection in a decentralized environment, reduces the communication overhead, and effectively improves the security of the unmanned cluster in the confrontation environment.

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