Distributed Anomaly Detection in Wireless Sensor Networks
Distributed Anomaly Detection in Wireless Sensor Networks
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DOI：
10.1109/iccs.2006.301508
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
Sutharshan Rajasegarar;C. Leckie;M. Palaniswami;J. Bezdek
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文献类型：
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作者：
Sutharshan Rajasegarar;C. Leckie;M. Palaniswami;J. Bezdek
识别不当行为是无线传感器网络监测、故障诊断和入侵检测的重要挑战。一个关键的问题是如何最大限度地减少网络中的通信开销和能量消耗时，识别不当行为。我们的方法来解决这个问题是基于一个分布式的，基于集群的异常检测算法。我们最大限度地减少通信开销，通过聚类的传感器测量和合并集群之前发送到其他节点的集群的描述。为了评估我们的分布式方案，我们实现了我们的算法在模拟的基础上收集的传感器数据从大鸭岛项目。我们证明，我们的计划达到可比的准确性相比，一个集中式的计划，大大减少了通信开销
Identifying misbehaviors is an important challenge for monitoring, fault diagnosis and intrusion detection in wireless sensor networks. A key problem is how to minimize the communication overhead and energy consumption in the network when identifying misbehaviors. Our approach to this problem is based on a distributed, cluster-based anomaly detection algorithm. We minimize the communication overhead by clustering the sensor measurements and merging clusters before sending a description of the clusters to the other nodes. In order to evaluate our distributed scheme, we implemented our algorithm in a simulation based on the sensor data gathered from the Great Duck Island project. We demonstrate that our scheme achieves comparable accuracy compared to a centralized scheme with a significant reduction in communication overhead