INTRUSION DETECTION SYSTEM IN COMPUTER NETWORKS USING DECISION TREE AND SVM ALGORITHMS

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KERMANSARAVI ZEINAB; JAZAYERIY HAMID; FATERI SOHEIL

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Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER RESEARCH Year:2013 | Volume:4 | Issue:3 (13) Page(s): 83-101

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Information Journal Paper

Title

INTRUSION DETECTION SYSTEM IN COMPUTER NETWORKS USING DECISION TREE AND SVM ALGORITHMS

Author(s)

KERMANSARAVI ZEINAB | JAZAYERIY HAMID | FATERI SOHEIL | Issue Writer Certificate

Keywords

INTRUSION DETECTION SYSTEM

CLUSTERING

DECISION TREE

SUPPORT VECTOR MACHINE

Abstract

Internet applications spreading and its high usage popularity result in significant increasing of cyber-attacks. Consequently, network security has become a matter of importance and several methods have been developed for these attacks.For this purpose, INTRUSION DETECTION SYSTEMs (IDS) are being used to monitor the attacks occurring on computer networks. Data mining Techniques, Machine Learning, Neural networks, Collective Intelligence, Evolutionary algorithms and Statistical methods are some of algorithms which have been used for classification, training and reviewing detection accuracy with analysis based on the standard datasets in INTRUSION DETECTION SYSTEMs. In this Paper, the hybrid algorithm is introduced based on DECISION TREE and SUPPORT VECTOR MACHINE (SVM) using feature selection and decision rules to apply on IDS. The main idea is to use the strengths of both algorithms in order to improve detection, enhance the accuracy and reduce the rate of error detection of the results. In this algorithm, the best features are selected by SVM, afterwards DECISION TREE is used to make decisions and define rules. The results of applying proposed algorithm are analyzed on the standard dataset KDD Cup99. The proposed method guarantees high detection rate which is proved by simulation results.

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APA: Copy

KERMANSARAVI, ZEINAB, JAZAYERIY, HAMID, & FATERI, SOHEIL. (2013). INTRUSION DETECTION SYSTEM IN COMPUTER NETWORKS USING DECISION TREE AND SVM ALGORITHMS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 4(3 (13)), 83-101. SID. https://sid.ir/paper/328736/en

Vancouver: Copy

KERMANSARAVI ZEINAB, JAZAYERIY HAMID, FATERI SOHEIL. INTRUSION DETECTION SYSTEM IN COMPUTER NETWORKS USING DECISION TREE AND SVM ALGORITHMS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2013;4(3 (13)):83-101. Available from: https://sid.ir/paper/328736/en

IEEE: Copy

ZEINAB KERMANSARAVI, HAMID JAZAYERIY, and SOHEIL FATERI, “INTRUSION DETECTION SYSTEM IN COMPUTER NETWORKS USING DECISION TREE AND SVM ALGORITHMS,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 4, no. 3 (13), pp. 83–101, 2013, [Online]. Available: https://sid.ir/paper/328736/en

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