文章基本信息

标题：Secured Aggregation Based on Learning Procedure in Wireless Sensor Networks
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作者：K.Sudha ; P. Divya Bala ; D.Lavanya 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
期号：ICETS
页码：222
出版社：S&S Publications
摘要：Wireless Sensor Networks (WSNs) is one of the important areas in research center, causing major impact on technology improvement. In a Wireless Sensor Network, attacks are usually based on the signature in a centralized approach which detec ts the anomalies. In this paper the existing Extended Kalman Filter ( EKF) mec hanism that can be used to find the malicious node which sends the false information with the constant threshold value. Each node in a network contains the normal value if any emergency event occurs then there will be a change in value of node. For this pu rpose system monitoring module (SMM) can be used, that will oversees the network behavior. In this paper, we proposed k - nearest neighbor (k - NN) algorithm for secure wireless network. This algorithm uses two methods such as distance and density in addition to this it also uses cluster summary aggregated from local and parent node to the base station which is used to identify the anomalies. We use centralized detection is useful for network anomalies, while network data can be piggybacked in packets, provid ing the centralized anomaly detector with a comprehensive view of network state.
关键词：Cumulative S ; ummation (CUSUM); ; ; Extended Kalman Filter (EKF); Generalized ; Likelihood R ; atio (GLR);k ; - ; Nearest Neighbor (k ; - ; NN); ; Wireless Sensor Networks(WSNs).