ProCSA: Protecting Privacy in Crowdsourced Spectrum Allocation
ProCSA: Protecting Privacy in Crowdsourced Spectrum Allocation
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DOI：
10.1007/978-3-030-29959-0_27
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发表时间：
2019-09
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影响因子：
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通讯作者：
Max Curran;Xiao Liang;Himanshu Gupta;Omkant Pandey;Samir R Das
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文献类型：
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作者：
Max Curran;Xiao Liang;Himanshu Gupta;Omkant Pandey;Samir R Das
共享频谱是一种新兴范例，旨在提高频谱利用率，从而解决移动数据消耗不断增长的问题。该范例允许授权主要用户的“未使用”频段与次要用户共享，只要分配给次要用户的频谱不会对主要用户造成任何有害干扰。然而，这种共享频谱范例给参与实体带来了严重的隐私风险，例如，二级用户可能对其位置和使用模式敏感。本文针对众包架构中的共享频谱分配问题提出了一种隐私保护协议，其中对二级用户的频谱分配是基于来自地理分布的众包频谱传感器的实时感知报告来完成的。这样的架构是非常理想的，因为它消除了假设传播模型的需要，并且有助于通过廉价的方式基于实时传播条件和高粒度数据进行估计。我们通过利用最近开发的快速且安全的两方计算协议的效率和通用性来设计我们的协议。我们证明，这种方法可以带来实用的解决方案，在效率和功能方面都优于最先进的解决方案。为了达到预期的计算效率，我们优化了频谱分配算法，根据某些参数选择少量的相关报告。这导致用于功率分配的RAM程序更快，在对底层算术运算进行适当调整的情况下，可以有效地实现该程序。我们使用标准的“理想/真实范式”来定义频谱分配的安全性并证明我们协议的安全性（在半诚实模型中）。我们还提供来自广泛模拟的数据，以证明我们方案的准确性以及计算和通信效率。
Sharing a spectrum is an emerging paradigm to increase spectrum utilization and thus address the unabated increase in mobile data consumption. The paradigm allows the “unused” spectrum bands of licensed primary users to be shared with secondary users, as long as the allocated spectrum to the secondary users does not cause any harmful interference to the primary users. However, such shared spectrum paradigms pose serious privacy risks to the participating entities, e.g., the secondary users may be sensitive about their locations and usage patterns. This paper presents a privacy-preserving protocol for the shared spectrum allocation problem in a crowdsourced architecture, wherein spectrum allocation to secondary users is done based on real-time sensing reports from geographically distributed and crowdsourced spectrum sensors. Such an architecture is highly desirable since it obviates the need to assume a propagation model, and facilitates estimation based on real-time propagation conditions and high granularity data via inexpensive means.We design our protocol by leveraging the efficiency and generality of recently developed fast and secure two-party computation () protocols. We show that this approach leads to practical solutions that outperform the state-of-the-art in terms of both efficiency as well as functionality. To achieve the desired computational efficiency, we optimize the spectrum allocation algorithm to select a small number of relevant reports based on certain parameters. This results in a faster RAM program for power allocation which, under suitable adjustments to underlying arithmetic operations, can be efficiently implemented using. We use the standard “ideal/real paradigm” to define the security of spectrum allocation and prove security of our protocol (in the semi-honest model). We also provide data from extensive simulations to demonstrate the accuracy, as well as computational and communication efficiency of our schemes.