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Intrusion-aware trust model for vehicular ad hoc networks

机译:车载自组织网络的入侵感知信任模型

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In vehicular ad hoc networks, peers make decisions on the basis of the information provided by the other peers. If the received information is fake, then the result could be catastrophic, such as road accidents. Therefore, many researchers use the concept of trust to evaluate the trustworthiness of the received data. However, existing trust management schemes (proposed so far for the vehicular networks) are suffered from various limitations. For example, some schemes measure trust on the basis of the history of interactions, which is infeasible for vehicular networks due to its ephemeral nature. Also, none of the existing schemes operate in an identity anonymous environment. In order to overcome these limitations, we propose a novel trust management scheme for identity anonymous vehicular ad hoc networks. The proposed method is simple and completely decentralized that makes it easy to implement in the vehicular networks. Also, we prove that the proposed method is not only robust, but it also detects false location and time information. Furthermore, it introduces linear time complexity, which makes it suitable to use in real time. Copyright (c) 2013 John Wiley & Sons, Ltd.
机译:在车载自组织网络中,对等方根据其他对等方提供的信息进行决策。如果收到的信息是伪造的,则结果可能是灾难性的,例如交通事故。因此,许多研究人员使用信任的概念来评估所接收数据的可信度。然而,现有的信任管理方案(迄今为止针对车辆网络提出的方案)受到各种限制。例如,一些方案基于交互的历史来测量信任,由于其短暂性,这对于车辆网络是不可行的。另外,现有方案均未在身份匿名环境中运行。为了克服这些限制,我们提出了一种用于身份匿名车辆自组织网络的新颖的信任管理方案。所提出的方法是简单的并且完全分散的,这使得在车辆网络中易于实现。此外,我们证明了该方法不仅鲁棒性强,而且还可以检测错误的位置和时间信息。此外,它引入了线性时间复杂度,使其适合实时使用。版权所有(c)2013 John Wiley&Sons,Ltd.

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