Zheng Lida

TL;DR: In this article, an intelligent learning type self-response industrial internet honeypot induction method and system is proposed, which comprises the following steps: sample data processing: periodically acquiring a service request command of an industrial environment under a normal condition in a set time period, equipment for responding to the request command and response content, and processing to generate a request response sequence as a model training sample data set; responding to prediction model training; threat trapping is carried out, request data of a current attacker are obtained, anode where a request sub-sequence is located on a probability suffix tree