Registry access anomaly detection system based on the rough set algorithm

With the rapid growth and popularization of Internet, network security problems become increasingly serious. This paper analyzes impact on several malicious codes registry access behaviour builds a rough set algorithms-based intrusion detection systems. Related attributes are constructed considering both time sequence attribute one-time as our input training module. Attribute reduction rules extraction using sets algorithms give to normal modal. Experiments show that system differentiates abnormal successfully.