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[期刊论文]
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Intrusion Detection System Using Support Vector Machine and Fuzzy Logic
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作 者：
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A.M. Viswa Bharathy;A. Mahabub Basha;
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出版年：2017
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页 码：104 - 109
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出版社：International Digital Organization for Scientific Information Publications
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摘 要：
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The crucial issue in the communication devices or systems were the security. A device or softwareapplication which was used for the monitoring networks or system activities from the defection of maliciousactivities and any policy violated were called as Intrusion Detection Systems (IDS). IDS report all theseactivities to the management. In order to provide high level security to the users, the IDS plays an importantrole in the network security. A dynamic defense system for the network could be provided by the IDSthroughout.This paper includes the overview of IDS and proposes a hybrid approach using the techniquessuch as Support Vector Machine and Fuzzy Logic. The dealing of various types of attributes and to reduce thedimensionality is the main advantage of this proposed system.
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关键字：
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Network intrusion SVM Fuzzy Logic C4.5 K-Means Clustering
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全文
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所属期刊
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ISSN: 1818-4952
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来自：International Digital Organization for Scientific Information Publications
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