在机会主义网络中检测sybil攻击的信任结构

Samaneh Rashidibajgan
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引用次数: 11

摘要

机会网络(OppNet)允许用户在不连接互联网的情况下通过无线通信相互连接。这些网络具有脆弱的结构,并且网络的拓扑结构经常变化,因此不可能将信任第三方作为证书颁发机构。针对这些网络有许多不同的攻击,其中之一是Sybil攻击。本文提出了一种用于OppNet中Sybil攻击检测的新型信任连接结构。根据贝叶斯规则和节点的观察,计算了节点在不同情况下的效用,并演示了节点在什么情况下可以相互信任。此外,我们还考虑了接收到错误信号的概率,以提高网络的准确率和误报率。结果表明,该算法提高了网络的误报率和准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A trust structure for detection of sybil attacks in opportunistic networks
Opportunistic networks (OppNet) enable users to connect each other via wireless communication without connecting to the Internet. These networks have fragile structures and the topology of the network is changed frequently, so it is impossible to have a Trust Third Party as a certificate authority. There are many different attacks against these networks and one of them is Sybil Attack. In this paper, we proposed a new trust connection structure for Sybil attacks detection in OppNet. According to the Bayes rules and node's observation, we calculate the utility of nodes in different situations and demonstrated when nodes can trust each other. Furthermore, we considered the probability of receiving incorrect signal, in order to improve accuracy and false positive rate in the network. Results indicate that proposed algorithm improves False Positive Rate and Accuracy of the network.
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