Private and Flexible Proximity Detection in Mobile Social Networks

Laurynas Siksnys, Jeppe Rishede Thomsen, Simonas Saltenis, Man Lung Yiu

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

81 Citations (Scopus)
688 Downloads (Pure)

Abstract

A privacy-aware proximity detection service determines if two mobile users are close to each other without requiring them to disclose their exact locations. Existing proposals for such services provide weak privacy, give low accuracy guarantees, incur high communication costs, or lack flexibility in user preferences. We address these shortcomings with a client-server solution for proximity detection, based on encrypted, multi-level partitions of the spatial domain. Our service notifies a user if any friend users enter the user’s specified area of interest, called the vicinity region. This region, in contrast to related work, can be of any shape and can be flexibly changed on the fly. Encryption and blind evaluation on the server ensures strong privacy, while low communication costs are achieved by an adaptive location-update policy. Experimental results show that the flexible functionality of the proposed solution is provided with low communication cost.
Original languageEnglish
Title of host publicationEleventh International Conference on Mobile Data Management, MDM 2010
PublisherIEEE Computer Society Press
Publication date2010
Pages75-84
ISBN (Print)978-0-7695-4048-1
DOIs
Publication statusPublished - 2010

Fingerprint

Dive into the research topics of 'Private and Flexible Proximity Detection in Mobile Social Networks'. Together they form a unique fingerprint.

Cite this