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首页> 外文期刊>IEEE transactions on dependable and secure computing >Bilateral Privacy-Preserving Utility Maximization Protocol in Database-Driven Cognitive Radio Networks
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Bilateral Privacy-Preserving Utility Maximization Protocol in Database-Driven Cognitive Radio Networks

机译：数据库驱动认知无线电网络中的双边隐私保留实用程序最大化协议

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摘要

Database-driven cognitive radio has been well recognized as an efficient way to reduce interference between Primary Users (PUs) and Secondary Users (SUs). In database-driven cognitive radio, PUs and SUs must provide their locations to enable dynamic channel allocation, which raises location privacy breach concern. Previous studies only focus on unilateral privacy preservation, i.e., only PUs' or SUs' privacy is preserved. In this paper, we propose to protect bilateral location privacy of PUs and SUs. The main challenge lies in how to coordinate PUs and SUs to maximize their utilities provided that their location privacy is protected. We first introduce a quantitative method to calculate both PUs' and SUs' location privacy, and then design a novel privacy preserving Utility Maximization protocol (UMax). UMax allows for both PUs and SUs to adjust their privacy preserving levels and optimize transmit power iteratively to achieve the maximum utilities. Through extensive evaluations, we demonstrate that our proposed protocol can efficiently increase the utilities of both PUs and SUs while preserving their location privacy.
机译：数据库驱动的认知无线电已经很好地被认可为减少主用户（PU）和辅助用户（SUS）之间的干扰的有效方法。在数据库驱动的认知收音机中，PU和SU必须提供其位置以启用动态信道分配，从而提高位置隐私违规问题。以前的研究只关注单方面隐私保存，即，只有脓液或苏斯的隐私保留。在本文中，我们建议保护脓液和SUS的双边地点隐私。主要挑战在于如何协调脓液和苏最大化其公用事业，规定是保护其位置隐私受到保护。我们首先介绍一种量化的方法来计算PUS和SUS'位置隐私，然后设计一种新颖的隐私保存实用程序最大化协议（UMAX）。 Umax允许PUS和SUS调整其隐私保存级别，并迭代地优化传输功率以实现最大实用程序。通过广泛的评估，我们证明我们的拟议议定书可以有效地增加脓液和SU的公用事业，同时保留其位置隐私。

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