Abstract
With the rapid development of machine learning and Internet technology, the combination of the two methods is well appreciated recently. An anomaly and intrusion detection system is a mechanism that monitors network or system activities for malicious activities. Intrusion detection and prevention systems are primarily focused on identifying possible incidents, logging information about them and reporting attempts. As far as other usages of Intrusion detection and prevention systems are concerned, such as identifying problems with security policies and deterring individuals from violating security policies. Anomaly detection systems are becoming an important addition to the security infrastructure of nearly every organization. In this paper, we propose a novel mechanism for real-world traffic and research there cases with theoretical analysis.
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