中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Granulometric Size Distribution based intrusion detection method for WSN

文献类型:会议论文

作者Wang, Yanwen; Wu, Xiaoling; Chen, Hainan; Liu, Guangcong
出版日期2014
会议名称9th International Conference on Communications and Networking in China, CHINACOM 2014
会议地点Maoming, China
英文摘要Security issue in Wireless Sensor Networks (WSNs) has long been the topic of extensive research in the last decade. Data encryption and authentication are the most common methods to address the security issues in WSN. However, these efforts are ineffective in detecting the diverse malicious attacks, especially in intrusion detection. Comparatively, very few attentions have been paid for detecting intrusive nodes in a common WSN topology. Therefore, in this paper we derive an innovative method called GSD method for detecting malicious attack in WSNs, such as intrusion detection. Link Quality Indicator (LQI) data of each node are utilized as the network parameters in this method. The simulation results show their effectiveness in intrusion detection.
收录类别EI
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/6287]  
专题深圳先进技术研究院_南沙所
作者单位2014
推荐引用方式
GB/T 7714
Wang, Yanwen,Wu, Xiaoling,Chen, Hainan,et al. A Granulometric Size Distribution based intrusion detection method for WSN[C]. 见:9th International Conference on Communications and Networking in China, CHINACOM 2014. Maoming, China.

入库方式: OAI收割

来源:深圳先进技术研究院

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