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Secure Data Collection in Wireless Sensor Networks Using Randomized Dispersive Routes

机译:使用随机分散路径的无线传感器网络中的安全数据收集

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Compromised node and denial of service are two key attacks in wireless sensor networks (WSNs). In this paper, we study data delivery mechanisms that can with high probability circumvent black holes formed by these attacks. We argue that classic multipath routing approaches are vulnerable to such attacks, mainly due to their deterministic nature. So once the adversary acquires the routing algorithm, it can compute the same routes known to the source, hence, making all information sent over these routes vulnerable to its attacks. In this paper, we develop mechanisms that generate randomized multipath routes. Under our designs, the routes taken by the ȁC; sharesȁD; of different packets change over time. So even if the routing algorithm becomes known to the adversary, the adversary still cannot pinpoint the routes traversed by each packet. Besides randomness, the generated routes are also highly dispersive and energy efficient, making them quite capable of circumventing black holes. We analytically investigate the security and energy performance of the proposed schemes. We also formulate an optimization problem to minimize the end-to-end energy consumption under given security constraints. Extensive simulations are conducted to verify the validity of our mechanisms.
机译:受损的节点和拒绝服务是无线传感器网络(WSN)中的两个关键攻击。在本文中,我们研究了可以以较高的概率规避由这些攻击形成的黑洞的数据传递机制。我们认为经典的多路径路由方法很容易受到此类攻击,这主要是由于其确定性。因此,一旦对手获取了路由算法,它就可以计算出源已知的相同路由,从而使通过这些路由发送的所有信息都容易受到攻击。在本文中,我们开发了生成随机多径路由的机制。根据我们的设计,ȁC采取的路线;股份ȁD;的不同数据包随时间变化。因此,即使路由算法成为对手已知的,对手仍然无法查明每个数据包遍历的路由。除了随机性之外,生成的路径还具有很高的分散性和能源效率,使其非常有能力规避黑洞。我们分析性地研究了拟议方案的安全性和能源性能。我们还提出了一个优化问题,以在给定的安全约束下将端到端的能耗降至最低。进行了广泛的仿真,以验证我们机制的有效性。

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