期刊名称：BVICAM's International Journal of Information Technology
印刷版ISSN：0973-5658
出版年度：2016
卷号：8
期号：1
语种：English
出版社：Bharati Vidyapeeth's Institute of Computer Applications and Management
摘要：As E-Business is growing steadily with the increase in internet usage, it has increased the major security risk factors and as for novel attacks it becomes quite difficult to detect them. An Intrusion Detection System (IDS) is a device or software application that monitors network traffic and is able to analyse ongoing malicious activities and reports them to the administrator. Basically an IDS can be a Misuse Detection System or an Anomaly Detection System. There are several techniques for Misuse Detection System making use of Artificial Intelligence, Data mining etc. exploited by intelligent agents. This paper presents the model for Misuse Detection System exploiting data mining techniques with the help of intelligent agents which can be used by servers involved in E-Business. The agent makes use of pattern matching technique for the attack signatures already stored in the knowledge base and analyses audit log files. If it finds the one matching with those stored in knowledge base then the reporting agent immediately intimates the administrator about the malicious activity.
