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SocialHide: A generic distributed framework for location privacy protection

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS 2016年第Dec.期76卷 87-100页

作者： Hwang, Ren-Hung Hsueh, Yu-Ling Wu, Jang-Jiin Huang, Fu-Hui Natl Chung Cheng Univ Dept Comp Sci & Informat Engn Chiayi Taiwan

Location-based services (LBS) have become one of the most popular smartphone applications, as smartphones are able to connect to the Internet and are equipped with the Global Positioning System (GPS). Since LBS queries include the query location of mobile users, it raises a privacy concern about exposing the locations of query issuers. In the literature, a centralized architecture which consists of a trusted anonymity server is widely adopted. However, this approach exhibits several apparent weaknesses, such as single point of failure, performance bottlenecks, and serious security threats. Furthermore, the anonymity server as an intermediate component between the query issuers and an LBS server is not necessarily trusted by the users. In this paper, we propose a generic distributed framework (SocialHide for short) based on the unique structure of Peer-to-Peer systems and the trust relationship retrieved from the social networks to support LBS queries for any approaches that utilize global user information for privacy protection purpose, such as constructing cloaked regions for location obfuscation. In SocialHide, a user can maintain his/her own location information and decide which friends to trust such that the protection of location privacy can be achieved without involving a third-party, trusted anonymous server. We use the K-anonymity spatial region as an application example to this novel framework. We evaluate the performance of the proposed architecture based on both a real world social network as well as a synthetic small-world social relationship dataset. Our experiment results confirm that our method achieves robust, decentralized strong privacy protection for LBS users.

关键词： Location Privacy Location Based Service distributed anonymity server architecture Peer-to-Peer Social Networking

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SocialCloaking: a distributed architecture for K-anonymity Location Privacy Protection

<i>SocialCloaking</i>: a Distributed Architecture for K-anon...

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International Conference on Computing, Networking and Communications (ICNC)

作者： Hwang, Ren-Hung Huang, Fu-Hui Natl Chung Cheng Univ Dept Comp Sci & Informat Engn Chiayi Taiwan

ISBN: (纸本)9781479923588

As location information becomes commonly available in smart phones, applications of Location Based Service (LBS) has also become very popular and are widely used by smart phone users. Since the query of LBS contains user's location, it raises a privacy concern of exposure of user's location. K-anonymity is a commonly adopted technique for location privacy protection. In the literature, a centralized architecture which consists of a trusted anonymity server is widely adopted. However, this approach exhibits several apparent weaknesses, such as single point of failure, performance bottleneck, serious security threats, and not trustable to users, etc. In this paper, we re-examine the location privacy protection problem in LBS applications. We first provide an overview of the problem itself, to include types of query, privacy protection methods, adversary models, system architectures, and their related works in the literature. We then discuss the challenges of adopting a distributed architecture which does not need to set up a trusted anonymity server and propose a solution by combining unique features of structured peer-to-peer architecture and trust relationships among users of their on-line social networking relations.

关键词： Location Privacy Location Based Service distributed anonymity server architecture Peer-to-Peer Social Networking

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