標題: Privacy protected query processing on spatial networks
作者: Ku, Wei-Shinn
Zimmermann, Roger
Peng, Wen-Chih
Shroff, Sushama
資訊工程學系
Department of Computer Science
公開日期: 2007
摘要: With the proliferation of mobile devices (e.g., PDAs, cell phones, etc.), location-based services have become more and more popular in recent years. However, users have to reveal their location information to access location-based services with existing service infrastructures. It is possible that adversaries could collect the location information, which in turn invades user\'s privacy. There are existing solutions for query processing on spatial networks and mobile user privacy protection in Euclidean space. However there is no solution for solving queries on spatial networks with privacy protection. Therefore, we aim to provide network distance spatial query solutions which can preserve user privacy by utilizing K-anonymity mechanisms. In this paper we present two novel query algorithms, PSNN and PSRQ, for answering nearest neighbor queries and range queries on spatial networks without revealing private information of the query initiator The effectiveness of our privacy protected algorithms has been validated using real world road networks. In addition, we demonstrate the appeal of our technique using extensive simulation results.
URI: http://dx.doi.org/10.1109/ICDEW.2007.4400994
http://hdl.handle.net/11536/134441
ISBN: 978-1-4244-0831-3
ISSN: 1943-2895
DOI: 10.1109/ICDEW.2007.4400994
期刊: 2007 IEEE 23RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOP, VOLS 1-2
起始頁: 215
結束頁: +
顯示於類別:會議論文