An Immunity-based Scheme for Statistical En-route Filtering in Wireless Sensor Networks
An Immunity-based Scheme for Statistical En-route Filtering in Wireless Sensor Networks
复制标题
无线传感器网络中基于抗扰性的统计途中过滤方案
DOI：
10.1007/978-3-642-15393-8_74
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Yuji Watanabe
中科院分区：
文献类型：
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作者：
陳春祥;佐々木宣介;松重 敬直,陳 春祥;Yuji Watanabe;Yuji Watanabe;Yuji Watanabe
统计途中过滤方案不处理注入伪造报告的受损节点的识别。本文提出了一种基于免疫力的方案，结合无线传感器网络中的统计路由过滤来识别受损节点。在该方案中，每个节点都有一个邻居列表，并为每个邻居节点分配可信度。每个节点不仅可以根据过滤和通信的成功或失败来更新邻居节点的可信度，而且可以将更新后的可信度作为下一次通信的概率。我们的方案将有望抑制邻居节点的妥协节点转发虚假报告。
Statistical en-route filtering schemes do not deal with the identification of compromised nodes injecting bogus reports. In this paper, we propose an immunity-based scheme to identify compromised nodes combining with the statistical en-route filtering in wireless sensor networks. In the proposed scheme, each node has a list of neighborhood and assigns credibility to each neighbor node. Each node can not only update the credibility of neighbor node based on success or failure of filtering and communication but also use the updated credibility as the probability of next communication. Our scheme will be expected to inhibit neighbor nodes of compromised nodes from forwarding false reports.