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篇名 |
An Intrusion Detection Model Based on IPSO-SVM Algorithm in Wireless Sensor Network
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並列篇名 | An Intrusion Detection Model Based on IPSO-SVM Algorithm in Wireless Sensor Network |
作者 | Shuang Liu、Liejun Wang、Jiwei Qin、Yan Guo、Hang Zuo |
英文摘要 | Aiming at the energy constrained of wireless sensor network (WSN) and the low detection accuracy of intrusion detection mechanisms in WSN, an intrusion detection model based on improved Particle Swarm Optimization (IPSO) and Support Vector Machine (SVM) is proposed in this paper. Firstly, the improved LEACH algorithm is applied to our intrusion detection model to cluster the nodes to reduce energy consumption. Nextly, Anomaly detection based on SVM algorithm is used in this model to ensure that detector has a high detection accuracy. Finally, the SVM algorithm is optimized by using the IPSO algorithm to obtain the optimal SVM parameters, so as to improve the detection precision and convergence speed of the model. The experimental results show that the intrusion detection model mentioned in this paper has higher detection precision, faster convergence speed and more balanced use of node energy compared with other detection models. |
起訖頁 | 2125-2134 |
關鍵詞 | Wireless sensor network、intrusion detection、Particle swarm optimization、Support vector machine、LEACH algorithm、Anomaly detection |
刊名 | 網際網路技術學刊 |
期數 | 201812 (19:7期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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| Fault-diagnosis and Decision Making Algorithm for Determining Faulty Nodes in Malicious and Dormant Wireless Sensor Networks |