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http://dx.doi.org/10.12672/ksis.2012.20.4.083

A Nearest Neighbor Query Processing Algorithm Supporting K-anonymity Based on Weighted Adjacency Graph in LBS  

Jang, Mi-Young (전북대학교 컴퓨터공학과)
Chang, Jae-Woo (전북대학교 IT정보공학과)
Publication Information
Spatial Information Research / v.20, no.4, 2012 , pp. 83-92 More about this Journal
Abstract
Location-based services (LBS) are increasingly popular due to the improvement of geo-positioning capabilities and wireless communication technology. However, in order to enjoy LBS services, a user requesting a query must send his/her exact location to the LBS provider. Therefore, it is a key challenge to preserve user's privacy while providing LBS. To solve this problem, the existing method employs a 2PASS cloaking framework that not only hides the actual user location but also reduces bandwidth consumption. However, 2PASS does not fully guarantee the actual user privacy because it does not take the real user distribution into account. Hence, in this paper, we propose a nearest neighbor query processing algorithm that supports K-anonymity property based on the weighted adjacency graph(WAG). Our algorithm not only preserves the location of a user by guaranteeing k-anonymity in a query region, but also improves a bandwidth usage by reducing unnecessary search for a query result. We demonstrate from experimental results that our algorithm outperforms the existing one in terms of query processing time and bandwidth usage.
Keywords
Location Based Service(LBS); Query Processing Algorithm; User Location Preservation; Network Bandwidth Usage;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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