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Untraceability of mobile devices in wireless mesh networks using linear network coding

机译:使用线性网络编码的无线网状网络中移动设备的不可追溯性

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To protect user privacy in wireless mesh networks (WMNs), it is important to address two major challenges, namely: flow untraceability and movement untraceability, which prevent malicious attackers from deducing the flow paths and the movement tracks of mobile devices. For these two privacy requirements, most existing approaches rely on encrypting the whole packet, appending random padding, and applying random delay for each message at every intermediate node, resulting in significant computational and communication overheads. Recently, linear network coding (LNC) has been introduced as an alternative but the global encoding vectors (GEVs) of coded messages have to be encrypted so as to conceal the relationships between the incoming and outgoing messages. In this paper, we aim to explore the potential of LNC to ensure the flow untraceability and movement untraceability. Specifically, we first determine the necessary and sufficient condition, with which the two privacy requirements can be achieved without encrypting either GEVs or message contents. We then design a deterministic untraceable LNC (ULNC) scheme to provide flow untraceability and movement untraceability when the sufficient and necessary condition is satisfied. Finally, we discuss the effectiveness of the proposed ULNC scheme against traffic analysis attacks in WMNs.
机译:为了保护无线网状网络(WMN)中的用户隐私,解决两个主要挑战很重要,即:流量不可追踪性和移动不可追踪性,这可防止恶意攻击者推断移动设备的流路和移动轨迹。对于这两个隐私要求,大多数现有方法依赖于对整个数据包进行加密,附加随机填充并在每个中间节点为每个消息应用随机延迟,从而导致大量的计算和通信开销。最近,线性网络编码(LNC)已作为替代方案被引入,但是必须对编码消息的全局编码矢量(GEV)进行加密,以隐藏传入和传出消息之间的关系。在本文中,我们旨在探索LNC的潜力,以确保流量不可追踪性和运动不可追踪性。具体来说,我们首先确定必要条件和充分条件,通过这些条件可以实现两个隐私要求,而无需对GEV或消息内容进行加密。然后,我们设计确定性不可追踪LNC(ULNC)方案,以在满足充分必要条件时提供流量不可追踪和运动不可追踪。最后,我们讨论了所提出的ULNC方案对WMN中流量分析攻击的有效性。

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