Apriori algorithm based on the application of Web-based Intrusion Detection System
Zhou Man-yuan
Abstract
Zhou Man-yuan
Abstract
Intrusion Detection is one of the important part of the security system。 The research has been carried out at home and abroad for decades in this regard,However,with a variety of new method of attack,the demand of the intrusion detection methods and algorithms have also been asked to improve.By analyzing the technology of Intrusion Detection System and Data Mining in this paper,the author uses Apriori algorithm which is the classic of association rules in Web-based Intrusion Detection System and applys the rule base generated by he Apriori algorithm to identify a variety of attacks,improves the overall performance of the detection system.
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Intrusion Detection is one of the important part of the security system。 The research has been carried out at home and abroad for decades in this regard,However,with a variety of new method of attack,the demand of the intrusion detection methods and algorithms have also been asked to improve.By analyzing the technology of Intrusion Detection System and Data Mining in this paper,the author uses Apriori algorithm which is the classic of association rules in Web-based Intrusion Detection System and applys the rule base generated by he Apriori algorithm to identify a variety of attacks,improves the overall performance of the detection system.
Key concepts: Computer science, Intrusion detection system, Apriori algorithm, Association rule learning, Variety (cybernetics), Data mining, Anomaly-based intrusion detection system, Intrusion