基于信任关系的位置服务雾辅助隐私保护方案

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS International Journal of Grid and High Performance Computing Pub Date : 2020-10-01 DOI:10.4018/ijghpc.2020100104
Anamala Balaji Manju, Sumathy Subramanian
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引用次数: 2

摘要

随着智能移动设备及其功能的进步,基于位置的服务变得至关重要,因为它对个人和社会都有巨大的好处。基于位置的服务的用户担心使用它所带来的安全问题,因为位置服务提供商跟踪用户的兴趣、行为和身份信息。大多数基于位置的服务都是从资源有限的手机上推出的;因此,合并加密方案变得乏味,而且,双重身份攻击会发现加密的消息。基于位置服务的雾辅助隐私保护方案(FPriLBS)采用半可信的第三方作为雾服务器来消除提交给位置服务提供商的冗余查询,同时采用可信助手选择方案对雾服务器隐藏用户的真实身份。实验结果表明,所提出的FPriLBS在处理时间和处理成本方面优于现有方案。
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Fog-Assisted Privacy Preservation Scheme for Location-Based Services Based on Trust Relationship
With advancements in smart mobile devices and their capabilities, location-based services have gained utmost importance, as its individual and social benefits are enormous. Users of location-based services have a concern to the security issues posed by its usage as the location service providers track the users' interests, behavior, and identity information. Most of the location-based services are launched from mobile phones that have stringent resources; hence incorporating encryption schemes becomes tedious, and further, dual identity attacks uncover the encrypted message. A fog-assisted privacy protection scheme for location-based service (FPriLBS) employs a semi-trusted third party as a fog server to eliminate redundant queries submitted to the location service provider in addition to the trusted helper selection scheme which hides the real identity of the user from the fog server. The experimental results show that the proposed FPriLBS outperforms the existing schemes in terms of processing time and processing cost.
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来源期刊
CiteScore
1.70
自引率
10.00%
发文量
24
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