Research on Intrusion Detection System Based on Clustering Fuzzy Support Vector Machine
نویسندگان
چکیده
منابع مشابه
Network Intrusion Detection Model based on Fuzzy Support Vector Machine
Network intrusion detection is of great importance in the research field of information security in computer networks. In this paper, we concentrate on how to automatically detect the network intrusion behavior utilizing fuzzy support vector machine. After analyzing the related works of the proposed paper, we introduce the main characterics of fuzzy support vector machine, and demonstrate its f...
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As the communication industry has connected distant corners of the globe using advances in network technology, intruders or attackers have also increased attacks on networking infrastructure commensurately. System administrators can attempt to prevent such attacks by using intrusion detection tools and systems. In recent years Machine Learning (ML) algorithms has been gaining popularity in Intr...
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متن کاملA Novel Local Network Intrusion Detection System Based on Support Vector Machine
Problem statement: Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable Intrusion Detection Systems (IDS). Many methods and techniques were used for modeling the IDS, but some of them contribute little or not to resolve it. Approach: Intrusion detection system for local area network by using Support Vector Machines (SVM) wa...
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ژورنال
عنوان ژورنال: International Journal of Security and Its Applications
سال: 2014
ISSN: 1738-9976,1738-9976
DOI: 10.14257/ijsia.2014.8.3.26