Real-time multi-agent system for an adaptive intrusion detection system

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• 作者：Wathiq Laftah Al-Yaseen^a ; ^b ; ^{wathiqpro@gmail.com} ; Zulaiha Ali Othman^a ; Mohd Zakree Ahmad Nazri^a
• 关键词：Adaptive intrusion detection system ; Multi-agent system ; Real-time ; Support vector machine ; Extreme learning machine
• 刊名：Pattern Recognition Letters
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：85
• 期：Complete
• 页码：56-64
• 全文大小：2071 K
• 卷排序：85

文摘

Improve the detection performance of identify the new attacks in real time. Propose and develop a multi-agent system to speed up the IDS processes of detect the attacks. Improve the potential for adaptive IDS on the new attacks in real time and make system faster. Improve the detection rate of Probe, U2R and R2L attacks. Overall accuracy of 95.86% is achieved with whole “Corrected” KDD dataset.