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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Cluster based secure authentication technique using ant colony optimization in wireless sensor networks
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Cluster based secure authentication technique using ant colony optimization in wireless sensor networks

机译:无线传感器网络中基于蚁群优化的基于集群的安全认证技术

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摘要

In cluster based wireless sensor networks the existing technique does not offer security to the cluster head. The communication between the cluster head and the sink is not secured. Also, the technique to prevent malicious cluster head is not provided. In this paper, we propose to design a cluster based secure authentication technique based on ant colony optimization in wireless sensor networks. Initially the sensor nodes are authenticated before they are deployment in the network. The authenticated sensor node with maximum energy and trust value is selected as Cluster Head (CH). The distance among the cluster member and cluster head is estimated using the ant colony optimization (ACO) technique. The estimated distance, trust value and energy consumed by each cluster member are taken as input over fuzzy logic technique to select the secure node for data aggregation. The aggregated data is delivered from the CH to the Base Station (BS) attached with a message authentication code (MAC). By simulation results, we show that the proposed technique improves the secured data communication in the network.
机译:在基于群集的无线传感器网络中,现有技术无法为群集头提供安全性。群集头和接收器之间的通信不安全。另外,未提供防止恶意簇头的技术。本文提出了一种基于蚁群优化的无线传感器网络基于集群的安全认证技术。最初,在将传感器节点部署到网络中之前,先对它们进行身份验证。具有最大能量和信任值的经过身份验证的传感器节点被选为簇头(CH)。使用蚁群优化(ACO)技术估算聚类成员与聚类头之间的距离。每个群集成员的估计距离,信任值和能量被用作模糊逻辑技术的输入,以选择用于数据聚合的安全节点。聚集的数据从CH传递到带有消息验证码(MAC)的基站(BS)。通过仿真结果,我们表明所提出的技术改善了网络中的安全数据通信。

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