AN INTELLIGENT INTRUSION DETECTION SYSTEM USING GENETIC ALGORITHMS AND FEATURES SELECTION

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SHIRAZI H.M.; KALAJI Y.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Majlesi Journal of Electrical Engineering Year:2010 | Volume:4 | Issue:1 (12) Page(s): 33-43

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Title

AN INTELLIGENT INTRUSION DETECTION SYSTEM USING GENETIC ALGORITHMS AND FEATURES SELECTION

Author(s)

SHIRAZI H.M. | KALAJI Y. | Issue Writer Certificate

Keywords

INTRUSION DETECTION SYSTEMS

ANOMALY DETECTION

GENETIC ALGORITHMS

Abstract

The reports show a rapid growth in the numbers of attacks to the information and communication systems. Also, we witness smarter behaviors from the attackers. Thus, to prevent our systems from these attackers, we need to create smarter INTRUSION DETECTION SYSTEMS. In this paper, a new intelligent intrusion detection system has been proposed using GENETIC ALGORITHMS. In this system, at first, the network connection features were ranked according to their importance in detecting attack using information theory measures. Then, the network traffic linear classifiers based on GENETIC ALGORITHMS have been designed. These classifiers were trained and tested using KDD99 data sets. A detection engine based on these classifiers was build and experimented. The experimental results showed a detection rate up to 92.94%. This engine can be used in real-time mode.

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APA: Copy

SHIRAZI, H.M., & KALAJI, Y.. (2010). AN INTELLIGENT INTRUSION DETECTION SYSTEM USING GENETIC ALGORITHMS AND FEATURES SELECTION. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, 4(1 (12)), 33-43. SID. https://sid.ir/paper/567823/en

Vancouver: Copy

SHIRAZI H.M., KALAJI Y.. AN INTELLIGENT INTRUSION DETECTION SYSTEM USING GENETIC ALGORITHMS AND FEATURES SELECTION. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2010;4(1 (12)):33-43. Available from: https://sid.ir/paper/567823/en

IEEE: Copy

H.M. SHIRAZI, and Y. KALAJI, “AN INTELLIGENT INTRUSION DETECTION SYSTEM USING GENETIC ALGORITHMS AND FEATURES SELECTION,” MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, vol. 4, no. 1 (12), pp. 33–43, 2010, [Online]. Available: https://sid.ir/paper/567823/en

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