Process stability modeling and attack protection of industrial control system based on reverse cloud algorithm model

Abstract

Compared with traditional network security defense methods,industrial system security protection research based on process flow has become an important research direction in the field of industrial security.An improved backward cloud algorithm based on first order absolute central moment (BC-1stM) non-deterministic reverse cloud method was proposed,which was modeled by the time series and the normal state of the process flow.The security protection detection and alarm based on the process attack mode in the industrial system was realized,and Tennessee Eastman chemical process platform was adopted to validate the algorithm.The results show that the model had a high precision in the detection of attack behavior and detection of attack points,and improved the security protection capability of industrial systems.

Keywords

• industrial control system;process flow;steady state model;intrusion detection;reverse cloud algorithm