Application of data mining in intrusion detection system
Yulong Li
Abstract
Yulong Li
Abstract
Intrusion detection is a kind of network security technology appearing in recent years.Data mining combining with intrusion detection is the research subject in the field of network security.The basic concepts and relevant techniques of intrusion detection system are introduced and the common data mining techniques used in intrusion detection system are briefly elaborated.The intrusion detection system based on the data mining and an improved Apriori algorithm are put forward and the structures and the functions of every part of the system are analysed.The algorithm is applied in the system to extract features of user's behaviors and intrusion patterns and the entire system performance is improved.
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Intrusion detection is a kind of network security technology appearing in recent years.Data mining combining with intrusion detection is the research subject in the field of network security.The basic concepts and relevant techniques of intrusion detection system are introduced and the common data mining techniques used in intrusion detection system are briefly elaborated.The intrusion detection system based on the data mining and an improved Apriori algorithm are put forward and the structures and the functions of every part of the system are analysed.The algorithm is applied in the system to extract features of user's behaviors and intrusion patterns and the entire system performance is improved.
Key concepts: Intrusion detection system, Computer science, Anomaly-based intrusion detection system, Data mining, Field (mathematics), Network security, Intrusion prevention system, Apriori algorithm