Privacy Protection for Context-Aware Services: A Two-Layer Three-Party Game Model
Privacy Protection for Context-Aware Services: A Two-Layer Three-Party Game Model
复制标题
DOI：
10.1007/978-3-030-23597-0_10
复制
发表时间：
2019-06
期刊：
影响因子：
--
通讯作者：
Y. Huang;Zhipeng Cai;A. Bourgeois
中科院分区：
文献类型：
--
作者：
Y. Huang;Zhipeng Cai;A. Bourgeois
在上下文感知服务的时代，用户正在享受基于从众多用户收集的数据的卓越服务。然而，为了从这些服务中获益，用户正在承受泄露私人信息的风险。博弈论是一种强有力的方法，用于平衡这种权衡问题。缺点是大多数方案都是从用户的角度考虑权衡问题，而平台实际上是主导交互的一方。还有一个监督，以制定多个用户之间发生的互动，以及任何两方之间的相互影响，包括用户，平台和对手。在本文中，我们提出了一个平台为中心的两层三方博弈模型，以保护用户的隐私和提供服务质量。第一层关注多个非对称用户之间的交互，第二层考虑三方（用户，平台和对手）中任何两方之间的影响。我们证明了纳什均衡存在于所提出的游戏，并找到最佳的策略，为平台提供优质的服务，同时保护私人数据，沿着与对手的互动。使用真实的数据集，我们提出了模拟来验证我们的理论分析。
In the era of context-aware services, users are enjoying remarkable services based on data collected from a multitude of users. However, in order to benefit from these services, users are enduring the risk of leaking private information. Game theory is a powerful method that is utilized to balance such tradeoff problems. The drawback is that most schemes consider the tradeoff problem from the aspect of the users, while the platform is the party that dominates the interaction in reality. There is also an oversight to formulate the interaction occurring between multiple users, as well as the mutual influence between any two parties involved, including the user, platform and adversary. In this paper, we propose a platform-centric two-layer three-party game model to protect the users’ privacy and provide quality of service. One layer focuses on the interactions among the multiple asymmetric users and the second layer considers the influence between any two of the three parties (user, platform, and adversary). We prove that the Nash Equilibrium exists in the proposed game and find the optimal strategy for the platform to provide quality service, while protecting private data, along with interactions with the adversary. Using real datasets, we present simulations to validate our theoretical analysis.