无线传感器网络流量分析攻击下的位置隐私

Xi Luo, Xu Ji, Myong-Soon Park
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引用次数: 71

摘要

流量分析攻击是一种被动攻击,它试图根据被窃听的信息推断出流量模式。通过对报文流量的分析,可以推断出战略节点的位置,然后对这些位置发起主动攻击,如DoS攻击。因此,防范流量分析攻击的目的是防止攻击者追踪关键传感器节点的位置。由于开放的无线通信媒体将上下文信息暴露给攻击者,我们无法使用传统的加密和认证来防止攻击者对无线通信进行窃听。本文提出了三种防御流量分析攻击的方案。首先,提出了一种提供路径分集的随机路由方案。其次,我们将RRS与虚拟数据包注入方案(DPIS)相结合,通过跟踪或回溯转发的数据包到达接收方或源方来迷惑攻击者。最后,提出了一种匿名通信方案(ACS)来隐藏参与分组传输的所有节点的身份。通过安全分析和仿真,我们可以看到我们提出的方案能够有效防御流量分析攻击,并且交付时间短,能耗均匀。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Location Privacy against Traffic Analysis Attacks in Wireless Sensor Networks
Traffic analysis attacks are passive attacks that try to deduce the traffic pattern based on the eavesdropped information. Through analyzing the packet traffic, it can deduce the location of strategic nodes, and then launch an active attack to those locations, such as DoS attack. Therefore, defending against a traffic analysis attack is to prevent the adversary from tracing the location of critical sensor nodes. Due to the open wireless communication media exposing the context information to adversaries, we cannot use traditional encryption and authentication to prevent the adversaries from eavesdropping on the wireless communication. In this paper, we propose three schemes to defend against the traffic analysis attacks. Firstly, a random routing scheme (RRS) is proposed to provide path diversity. Secondly, we combine RRS with a dummy packet injection scheme (DPIS) to confuse the adversary by tracing or tracing back the forwarded packet to reach the receiver or source. Finally, an anonymous communication scheme (ACS) is proposed to hide the identities of all nodes that participate in packets transmission. Through security analysis and simulation, we can see that our proposed schemes can efficiently defend against traffic analysis attacks, take less delivery time and achieve uniform energy consumption.
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