Mobile traffic sensor network versus motion-MIX: tracing and protecting mobile wireless nodes

J. Kong, D. Wu, X. Hong, M. Gerla
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引用次数: 12

Abstract

In this paper we focus on passive attacks that threaten the privacy of mobile wireless networks. We define the concept of "venue privacy attack" (VPA) to illustrate the emerging anonymity attacks to trace mobile wireless nodes. Then we propose "motion-MIX" as the countermeasure to defend against various venue privacy attacks. We study the necessary conditions to implement motion-MIXes. These conditions include identity-free routing, one-time packet content and various other concerns in the network protocol stack. Then we use a new asymptotic security model to verify motion-MIX's effectiveness against venue privacy attacks. In a scalable ad hoc network, we prove that the probability of security breach is negligible (aka. sub-polynomial) with respect to the polynomial-bounded network scale (i.e., number of node in the network). This notion is conforming to the existing security notions in computational cryptography, where the polynomial-bounded metric is key length.
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移动交通传感器网络与运动混合:跟踪和保护移动无线节点
本文主要研究威胁移动无线网络隐私的被动攻击。我们定义了“场地隐私攻击”(VPA)的概念,以说明新兴的追踪移动无线节点的匿名攻击。在此基础上,提出了“motion-MIX”作为防范各种场馆隐私攻击的对策。我们研究了实现运动混合的必要条件。这些条件包括无身份路由、一次性数据包内容和网络协议栈中的各种其他关注点。然后,我们使用一个新的渐近安全模型来验证motion-MIX对场地隐私攻击的有效性。在可扩展的自组织网络中,我们证明了安全漏洞的可能性可以忽略不计(即。子多项式)相对于多项式有界网络规模(即网络中的节点数)。这个概念符合计算密码学中现有的安全概念,其中多项式有界度量是密钥长度。
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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