A Dynamic Privacy Aware Access Control Model for Location Based Services

Leila Karimi, Balaji Palanisamy, J. Joshi
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引用次数: 8

Abstract

The proliferation of Location Based Services (LBSs) and Geo Social Networks (GSNs) significantly increase the exposure risks of location information leading to leakage of sensitive information. Location privacy preserving methods are designed to provide a specified level of privacy based on some pre-defined privacy guarantees such as k-anonymity and e-differential privacy. In certain situations, we note that users would need different privacy protection levels based on their relationships and trust associated with the users of the exposed location data. For instance, users of a location-based social network may need a smaller privacy protection level in interaction with their close friends and a larger privacy protection level in relationship with public users. In this paper, we present a privacy aware access control model that provides different location privacy protection levels based on various access control list of users. The proposed privacy preserving access control model not only preserves the confidentiality of access control policy but also provides an efficient mechanism for grant and revoke of authorizations.
基于位置服务的动态隐私感知访问控制模型
基于位置的服务(lbs)和地理社交网络(GSNs)的激增显著增加了位置信息暴露的风险,从而导致敏感信息的泄露。位置隐私保护方法是基于k-匿名和e-差分隐私等一些预定义的隐私保证来提供指定级别的隐私。在某些情况下,我们注意到,根据用户与公开位置数据的用户的关系和信任,用户可能需要不同的隐私保护级别。例如,基于位置的社交网络的用户在与亲密朋友的互动中可能需要较小的隐私保护级别,而在与公共用户的关系中可能需要较大的隐私保护级别。本文提出了一种隐私感知访问控制模型,该模型根据不同的用户访问控制列表提供不同的位置隐私保护级别。所提出的保护隐私的访问控制模型不仅保证了访问控制策略的机密性,而且提供了一种有效的授权和撤销机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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