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A Probabilistically Weakly Secure Network Coding Scheme in Multipath Routing for WSNs

机译:WSN多路径路由中的概率弱安全网络编码方案

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In wireless sensor networks, nodes are mostly deployed in unsupervised areas and are vulnerable to a variety of attacks. Therefore, data security is a vital aspect to be considered. However, due to the limited computation capability and memory of sensor nodes, it is difficult to perform the complex encryption algorithm, as well as the key distribution and management algorithm. Toward this end, a low-complexity algorithm for security in wireless sensor networks is of significant importance. In this article, a weakly secure network coding based multipath routing scheme is proposed, which can guarantee the data confidentiality in transmission probabilistically, and can improve the energy efficiency in the meantime. Then the simulations of the probability of transmission being secure are performed. The results show that with the increase of the number of hops k , the probability of transmission being secure suffers from a rapid decrease. On the contrary, with the increase of multicast capacity h it undergoes a slight growth. Therefore, the weak security can be achieved with probability approaching 1 by limiting the number of hops and increasing the multicast capacity. Meanwhile, the simulations of energy consumption are performed and the comparison between the energy consumption of the scheme in this article and the multipath routing scheme without network coding is conducted. The results show that by employing network coding, the scheme in this article can improve the energy efficiency, and the more packets transmitted, the more energy consumption can be reduced.
机译:在无线传感器网络中,节点通常部署在不受监管的区域,并且容易受到各种攻击。因此,数据安全性是要考虑的重要方面。但是,由于传感器节点的计算能力和存储空间有限,因此难以执行复杂的加密算法以及密钥分发和管理算法。为此,用于无线传感器网络的安全性的低复杂度算法非常重要。本文提出了一种基于弱安全网络编码的多径路由方案,该方案可以保证传输中数据的机密性,同时可以提高能量效率。然后执行传输概率安全的模拟。结果表明,随着跳数k的增加,传输安全的概率迅速下降。相反,随着多播容量h的增加,它会略有增长。因此,通过限制跳数并增加多播容量,可以以接近1的概率实现弱安全性。同时,对能耗进行了仿真,并对本文方案的能耗与没有网络编码的多径路由方案进行了比较。结果表明,通过采用网络编码,该方案可以提高能源效率,发送的数据包越多,能耗越低。

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