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Title |
A Swarm-Intelligence-Based Intrusion Detection Technique |
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Author |
Zhou Lianying, Liu Fengyu |
| Citation |
Vol. 6 No. 7 pp. 146-150 |
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Abstract |
A Swarm-intelligence-based intrusion detection technique is proposed to in order to reduce the misjudgment & misdetection and increase the real-time response in the existing intrusion detection techniques show. Separating a huge and complicated intrusion detection system into severer independent detection units with unique function so that the amount of detection data processing and the complexity of detection signature selecting, which are the main factors affecting the application performance of existing intrusion detection techniques, are reduced significantly. Moreover, by utilizing the information from each independent detection unit, the complicated intrusion of the entire intrusion detection system can be detected. The key techniques for the implementation of the proposed system include the user trace under the environment of network, the interception and detection of real-time system calls, and the efficient access of shared information base. The according solutions are given in the article. |
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Keywords |
Intrusion Detection, Swarm Intelligence, network security |
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