Where Have You Been? Secure Location Provenance for Mobile Devices
Ragib Hasan, Randal Burns

TL;DR
This paper addresses the challenge of securing location provenance in mobile devices by proposing collusion-resistant proofs and privacy-preserving schemes, validated through practical Android implementation.
Contribution
It introduces a witness-endorsed scheme for collusion-resistant location proofs and two efficient methods using hash chains and Bloom filters for preserving proof order.
Findings
Schemes are practical on current mobile devices.
Proposed methods effectively prevent tampering and collusion.
Experimental results demonstrate feasibility and efficiency.
Abstract
With the advent of mobile computing, location-based services have recently gained popularity. Many applications use the location provenance of users, i.e., the chronological history of the users' location for purposes ranging from access control, authentication, information sharing, and evaluation of policies. However, location provenance is subject to tampering and collusion attacks by malicious users. In this paper, we examine the secure location provenance problem. We introduce a witness-endorsed scheme for generating collusion-resistant location proofs. We also describe two efficient and privacy-preserving schemes for protecting the integrity of the chronological order of location proofs. These schemes, based on hash chains and Bloom filters respectively, allow users to prove the order of any arbitrary subsequence of their location history to auditors. Finally, we present…
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Data Quality and Management · Scientific Computing and Data Management
