Resilient Privacy Protection for Location-Based Services Through Decentralization
Title | Resilient Privacy Protection for Location-Based Services Through Decentralization |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Jin, Hongyu, Papadimitratos, Panos |
Conference Name | Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-5084-6 |
Keywords | Human Behavior, human factors, Metrics, peer to peer security, pubcrawl, resilience, Resiliency, Scalability |
Abstract | Location-based Services (LBSs) provide valuable features but can also reveal sensitive user information. Decentralized privacy protection removes the need for a so-called anonymizer, but relying on peers is a double-edged sword: adversaries could mislead with fictitious responses or even collude to compromise their peers' privacy. We address here exactly this problem: we strengthen the decentralized LBS privacy approach, securing peer-to-peer (P2P) interactions. Our scheme can provide precise timely P2P responses by passing proactively cached Point of Interest (POI) information. It reduces the exposure both to the honest-but-curious LBS servers and peer nodes. Our scheme allows P2P responses to be validated with very low fraction of queries affected even if a significant fraction of nodes are compromised. The exposure can be kept very low even if the LBS server or a large set of colluding curious nodes collude with curious identity management entities. |
URL | https://dl.acm.org/citation.cfm?doid=3098243.3098268 |
DOI | 10.1145/3098243.3098268 |
Citation Key | jin_resilient_2017 |