DPavatar: A Real-Time Location Protection Framework for Incumbent Users in Cognitive Radio Networks
DPavatar: A Real-Time Location Protection Framework for Incumbent Users in Cognitive Radio Networks
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DOI：
10.1109/tmc.2019.2897099
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发表时间：
2020-03
影响因子：
7.9
通讯作者：
Jianqing Liu;Chi Zhang;B. Lorenzo;Yuguang Fang
中科院分区：
文献类型：
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作者：
Jianqing Liu;Chi Zhang;B. Lorenzo;Yuguang Fang
授权现任用户（IU）和未授权无线行业之间的动态频谱共享已被公认为解决频谱稀缺以及创建频谱市场的有效方法。最近，美国和欧洲政府都呼吁对开放频谱进行裁决，这些频谱最初被授权给敏感的军事/联邦系统。然而，这引入了对操作隐私的严重关注（例如，地点、时间和使用频率）。虽然有一些作品提出了混淆的方法来解决这个问题，这些技术只依赖于语法隐私模型，缺乏严格的隐私保证。在本文中，我们提出了一个全面的框架，为敏感的IU提供实时差分位置隐私。我们设计了一个效用最优的差分私有机制，以减少频谱效率的损失，同时保护IU免受有害干扰。此外，我们战略性地将联合收割机差分隐私与另一个隐私概念，预期推理错误，提供双重屏蔽保护IU的位置隐私。进行了大量的模拟，以验证我们的设计，并证明显着改善效用和位置隐私与其他现有的机制相比。
Dynamic spectrum sharing between licensed incumbent users (IUs) and unlicensed wireless industries has been well recognized as an efficient approach to solving spectrum scarcity as well as creating spectrum markets. Recently, both US and European governments called a ruling on opening up spectrum that was initially licensed to sensitive military/federal systems. However, this introduces serious concerns on operational privacy (e.g., location, time, and frequency of use) of IUs for national security concerns. Although several works have proposed obfuscation methods to address this problem, these techniques only rely on syntactic privacy models, lacking rigorous privacy guarantee. In this paper, we propose a comprehensive framework to provide real-time differential location privacy for sensitive IUs. We design a utility-optimal differentially private mechanism to reduce the loss in spectrum efficiency while protecting IUs from harmful interference. Furthermore, we strategically combine differential privacy with another privacy notion, expected inference error, to provide double shield protection for IU's location privacy. Extensive simulations are conducted to validate our design and demonstrate significant improvements in utility and location privacy compared with other existing mechanisms.