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A Secured and Guaranteed Packet Transmission across Multiple Nodes in Mobile Adhoc Networks with Presence of Malicious Monitoring Nodes

机译:存在恶意监视节点的移动自组织网络中多个节点之间的安全保证分组传输

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MANET consists of self organized mobile nodes. For effective maintenance of network, these mobile nodes should collaborate together. But, some nodes in the network may fail to cooperate and show selfish behavior. The presence of selfish nodes in the network reduces the performance of packet transmission. Watchdog systems are used in the detection of selfish nodes. Hence, collaborative contactbased watchdog (CoCoWa) approach was proposed by which selfish nodes, new contacts and malicious nodes were detected by using local watchdogs. This approach enhanced the effectiveness of detecting selfish nodes. In our proposed system, malicious nodes are detected by periodically monitoring the behavioural changes of each node. The observed changes are used to construct the behaviour matrix. KullbackLeibler divergence (KL divergence) is then used to calculate the divergence rate of nodes from behaviour matrix and identifies the malicious nodes. But, when the argument values used in KL divergence are reversed, then it show different results because is a nonsymmetric divergence. This results leads to the accuracy problem. Hence, our proposed work uses different forms of mixture of directed and alternate Kullback–Leibler divergences for symmetrizing the Kullback–Leibler Divergence. Based on the obtained symmetric measures, Akaike information criterion (AIC) is then used for improving accuracy results by selecting the malicious nodes effectively.
机译:MANET由自组织的移动节点组成。为了有效维护网络,这些移动节点应该一起协作。但是,网络中的某些节点可能无法协作并表现出自私的行为。网络中自私节点的存在会降低数据包传输的性能。看门狗系统用于自私节点的检测。因此,提出了基于协作联系的看门狗(CoCoWa)方法,该方法通过使用本地看门狗来检测自私节点,新联系人和恶意节点。这种方法增强了检测自私节点的有效性。在我们提出的系统中,通过定期监视每个节点的行为变化来检测恶意节点。观察到的变化用于构造行为矩阵。然后,使用KullbackLeibler散度(KL散度)从行为矩阵计算节点的散度率并识别恶意节点。但是,将KL散度中使用的参数值反转时,由于是非对称散度,因此会显示不同的结果。结果导致精度问题。因此,我们的拟议工作使用有向和交替的库尔巴克-莱布勒发散的不同混合形式来对称化库尔巴克-莱布勒发散。基于获得的对称度量,然后使用Akaike信息标准(AIC)通过有效选择恶意节点来提高准确性结果。

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