A Spatial Source Location Privacy-aware Duty Cycle for Internet of Things Sensor Networks

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
M. Bradbury, A. Jhumka, C. Maple
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引用次数: 6

Abstract

Source Location Privacy (SLP) is an important property for monitoring assets in privacy-critical sensor network and Internet of Things applications. Many SLP-aware routing techniques exist, with most striking a tradeoff between SLP and other key metrics such as energy (due to battery power). Typically, the number of messages sent has been used as a proxy for the energy consumed. Existing work (for SLP against a local attacker) does not consider the impact of sleeping via duty cycling to reduce the energy cost of an SLP-aware routing protocol. Therefore, two main challenges exist: (i) how to achieve a low duty cycle without loss of control messages that configure the SLP protocol and (ii) how to achieve high SLP without requiring a long time spent awake. In this article, we present a novel formalisation of a duty cycling protocol as a transformation process. Using derived transformation rules, we present the first duty cycling protocol for an SLP-aware routing protocol for a local eavesdropping attacker. Simulation results on grids demonstrate a duty cycle of 10%, while only increasing the capture ratio of the source by 3 percentage points, and testbed experiments on FlockLab demonstrate an 80% reduction in the average current draw.
物联网传感器网络空间源位置隐私感知占空比
在隐私关键型传感器网络和物联网应用中,源位置隐私(SLP)是监控资产的重要属性。存在许多感知SLP的路由技术,其中最引人注目的是在SLP和其他关键指标(如能量(由于电池电量))之间进行权衡。通常,发送的消息数量被用作能耗的代理。现有的工作(针对本地攻击者的SLP)没有考虑通过占空比来降低SLP感知路由协议的能量成本的睡眠影响。因此,存在两个主要挑战:(i)如何在不丢失配置SLP协议的控制消息的情况下实现低占空比;(ii)如何在不需要长时间清醒的情况下实现高SLP。在这篇文章中,我们提出了一个新的形式化的占空比协议作为一个转换过程。利用派生的转换规则,我们提出了针对本地窃听攻击者的slp感知路由协议的第一个占空比协议。在网格上的仿真结果表明占空比为10%,而源捕获率仅提高了3个百分点,并且在FlockLab上的测试平台实验表明平均电流消耗减少了80%。
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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来源期刊
CiteScore
5.20
自引率
3.70%
发文量
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