数据库协调频谱共享中虚拟设备的位置隐私

Nirajan Rajkarnikar, J. Peha, Ana Aguiar
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引用次数: 10

摘要

提供更多频谱的一种方法是通过白色空间共享,允许二次频谱用户从除主频谱用户周围划定的禁区(EZs)以外的任何位置进行传输。然而,EZ边界揭示了pu的位置,对于某些设备来说,位置隐私非常重要。通过增加ez内的阻塞面积可以提高位置隐私性,但这会降低频谱利用效率。本文推导了一种基于两种方法的帕累托最优策略:生成虚拟pu并在其周围创建EZs,并使EZs大于干扰保护所需的面积。我们发现,在许多情况下,包括攻击者威胁干扰攻击的情况下,最优策略是最大化虚拟pu的数量,同时使EZs尽可能小。在其他情况下,最优策略是不生成虚拟EZs。我们通过使用这些策略中的任何一个在给定情况下都是最好的,得出了帕累托最优结果,并表明结果远远优于以前提出的一些算法所取得的结果。此外,通过我们的方法,即使少量增加二次使用的区域也可以大大提高pu的位置隐私性,尽管随着越来越多的区域被封锁,收益会递减。
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 from dummy devices in database-coordinated spectrum sharing
One way to make more spectrum available is through white space sharing, where secondary spectrum users are allowed to transmit from any location except inside exclusion zones (EZs) that are drawn around primary spectrum users (PUs). However, EZ boundaries reveal the locations of PUs, and for some devices, location privacy is extremely important. Location privacy can be improved by increasing the area blocked inside EZs, but this decreases spectrum utilization efficiency. This paper derives a Pareto optimal strategy that builds on two such approaches: generating dummy PUs and creating EZs around them, and making EZs larger than needed for interference protection alone. We find that in many circumstances, including cases where an attacker threatens a jamming attack, the optimal strategy is to maximize the number of dummy PUs while making EZs as small as possible. In the remaining circumstances, the optimal strategy is to generate no dummy EZs. We derive the Pareto optimal results achieved by using whichever of these strategies is best for given circumstances, and show that the results are far superior to those achieved with some previously proposed algorithms. Moreover, with our approach, even a small increase in the amount of area blocked from secondary use can greatly improve location privacy for PUs, although as more and more area is blocked, there are diminishing returns.
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