Abstract
In the era of rapid development of digital information, resource sharing under the Internet environment, convenient access to information has brought us great convenience. However, as a new independent variable, the Internet itself has many unknown vulnerabilities, which provide an attack entrance for attackers and cause serious security risks. In this paper, intrusion detection research based on rough vector set and particle swarm optimization mainly involves particle swarm optimization (PSO), learning of rough function, etc. Based on some shortcomings of the algorithm optimization in the field of intrusion detection, a rough set(RS)-particle swarm(PS) SVM network data security detection method is proposed to provide security guarantee for information services.
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