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Shape-Area Model-based Key Management in Wireless Sensor Network

机译:无线传感器网络中基于形状区域模型的密钥管理

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Secure communication environment creation and an accurate data delivery to the end participants from the generation point are the major constraints in IoT based real time transportation and monitoring systems. The design of networking layer based on various routing and transmission protocols suffer from the attack problem. The generation of insider attacker not only damages the network structure, it also modifies the routing path and hacking the packet information. The integration of IoT with the WSN alleviates the issues due to the insider attackers. This paper proposes the novel shape model based on Localized Geometric Voronoi Hexagon (LGVH) algorithm and the secure communication using key management procedures. The consecutive process of key establishment, update and revocation provide the necessary resistance to the insider attackers. The LGVH algorithm provides the necessary location information regarding the Sensor Nodes (SN) predicts the coverage area for the dynamic environment. This paper expands the customizable WSN simulator tool based on NS2 simulator provides the detailed coverage area. The comparative analysis between the proposed model with the existing methods regarding the various parameters confirm the effectiveness and contributions to the real-time IoT applications.
机译:在基于IoT的实时运输和监控系统中,安全的通信环境创建和从生成点到最终参与者的准确数据传递是主要限制。基于各种路由和传输协议的网络层设计存在攻击问题。内部攻击者的产生不仅破坏了网络结构,而且还修改了路由路径并入侵了数据包信息。物联网与WSN的集成缓解了内部攻击者带来的问题。本文提出了一种基于局部几何Voronoi六边形(LGVH)算法的新型形状模型,并使用密钥管理程序进行了安全通信。密钥建立,更新和吊销的连续过程为内部攻击者提供了必要的抵抗力。 LGVH算法提供有关传感器节点(SN)的必要位置信息,以预测动态环境的覆盖区域。本文扩展了基于NS2模拟器的可定制WSN模拟器工具,提供了详细的覆盖范围。所提出的模型与现有方法在各种参数方面的比较分析证实了其有效性和对实时物联网应用的贡献。

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