A Location Cloaking Algorithm Based on Combinatorial Optimization for Location-Based Services in 5G Networks | Zendy

Ruiyun Yu | Zendy; Zhihong Bai | Zendy; Leyou Yang | Zendy; Pengfei Wang | Zendy; Oguti Ann Move | Zendy; Yonghe Liu | Zendy

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A Location Cloaking Algorithm Based on Combinatorial Optimization for Location-Based Services in 5G Networks

Author(s) -

Ruiyun Yu,

Zhihong Bai,

Leyou Yang,

Pengfei Wang,

Oguti Ann Move,

Yonghe Liu

Publication year - 2016

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2016.2607766

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

In order to satisfy the various requirements of future network services, 5G wireless network is proposed and becoming a hot topic in academic and industrial field. Location-based services are widely used with the development of wireless communication and mobile Internet technology. A number of popular spatial-temporal cloaking technologies have been proposed, and the number of users in an anonymizing spatial region (ASR) is uncontrollable. This paper, based on the semi-trusted server architecture proposes a location cloaking algorithm (LCA) based on combinatorial optimization. First, the semi-trusted server architecture divides the information of mobile users into three parts, so adversaries are unable to obtain the location and identity at the same time, then utilize the spatial k -anonymity algorithm LCA to hide the real locations of user, which controls the number of real users to around k in the anonymous result sets (Aset), so that both the number of users in ASR and the area of ASR are minimized, thereby improving query precision and decreasing the resources consumption. Finally, complete further improvement that the location is distinguishable in ASR and the query contents are diverse in Aset. Simulations show that the LCA performs well on cloaking success rate, query precision, and resources saving.

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