@inproceedings{be76d07b82ae489f848415bd883547fa,
title = "DCA: The advanced privacy-enhancing schemes for location-based services",
abstract = "With the popularity of Location-based Services, LBS providers have been obtaining more data, by analyzing which they may infer users{\textquoteright} real locations and patterns of behavior. Unfortunately, most previous schemes using k-anonymity can hardly resist such fiercer side information-based privacy attacks. To address existing problems, we design a novel metric to accurately measure the resulted privacy level. Additionally, Dual Cloaking Anonymity (DCA) and enhanced-DCA (enDCA) algorithms, which are based on our metric, are also proposed. The former (DCA) constructs a k-anonymity set via carefully selecting k-1 users according to various query probabilities of each area and correlations between users{\textquoteright} query preferences. Then, enDCA further employs caching and location blurring to enhance the privacy preservation. Evaluations show that our proposals can significantly improve the privacy level.",
keywords = "Confusion degree, LBS privacy, k-anonymity",
author = "Jiaxun Hua and Yu Liu and Yibin Shen and Xiuxia Tian and Cheqing Jin",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 2nd Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2018 ; Conference date: 23-07-2018 Through 25-07-2018",
year = "2018",
doi = "10.1007/978-3-319-96893-3\_6",
language = "英语",
isbn = "9783319968926",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "63--71",
editor = "Yi Cai and Yoshiharu Ishikawa and Jianliang Xu",
booktitle = "Web and Big Data - Second International Joint Conference, APWeb-WAIM 2018, Proceedings",
address = "德国",
}