Limitations of trust management schemes in VANET and countermeasures

Zhen Huang, S. Ruj, M. A. Cavenaghi, A. Nayak
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引用次数: 31

Abstract

Vehicular networks ensure that the information received from any vehicle is promptly and correctly propagated to nearby vehicles, to prevent accidents. A crucial point is how to trust the information transmitted, when the neighboring vehicles are rapidly changing and moving in and out of range. Current trust management schemes for vehicular networks establish trust by voting on the decision received by several nodes, which might not be required for practical scenarios. It might just be enough to check the validity of incoming information. Due to the ephemeral nature of vehicular networks, reputation schemes for mobile ad hoc networks (MANETs) cannot be applied to vehicular ad hoc networks (VANET). We point out several limitations of trust management schemes for VANET. In particular, we identify the problem of information cascading and oversampling, which commonly arise in social networks. Oversampling is a situation in which a node observing two or more nodes, takes into consideration both their opinions equally without knowing that they might have influenced each other in decision making. We show that simple voting for decision making, leads to oversampling and gives incorrect results. We propose an algorithm to overcome this problem in VANET. This is the first paper which discusses the concept of cascading effect and oversampling effects to ad hoc networks.
VANET信任管理方案的局限性及对策
车载网络确保从任何车辆接收到的信息都能及时、正确地传播到附近的车辆,以防止事故的发生。其中一个关键问题是如何在相邻车辆快速变化和进出范围的情况下信任传输的信息。当前的车联网信任管理方案通过对多个节点收到的决策进行投票来建立信任,这在实际场景中可能并不需要。检查传入信息的有效性可能就足够了。由于车载网络的短暂性,移动自组织网络(manet)的声誉方案不能应用于车载自组织网络(VANET)。指出了VANET信托管理方案的几个局限性。特别是,我们确定了信息级联和过采样的问题,这通常出现在社交网络。过采样是指一个节点在观察两个或多个节点时,在不知道它们在决策过程中可能会相互影响的情况下,平等地考虑它们的意见。我们表明,简单的投票决策,导致过采样和给出不正确的结果。我们提出了一种算法来克服VANET中的这个问题。本文首次讨论了自组网中级联效应和过采样效应的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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