Lightweight Privacy-Preserving and Fault-Tolerant Truth Discovery for Mobile Crowdsensing Systems
Summary
Mobile crowdsensing (MCS, a system where mobile users contribute data to solve problems) needs ways to verify that the collected data is truthful while protecting people's privacy. This paper proposes two new truth discovery schemes: RsAnonTD for systems with a stable group of users, and McFeKDeTD for systems where workers join and leave dynamically. Both schemes use cryptographic techniques (ring signature, perturbation, and functional encryption with zero-knowledge proofs, which are mathematical ways to verify information without revealing details) to keep data private and defend against attacks like data forgery and tampering, while also reducing computational overhead by up to 98% compared to existing approaches.
Solution / Mitigation
The paper proposes two fault-tolerant and privacy-preserving truth discovery solutions: (1) RsAnonTD, which integrates ring signature with the perturbation technique for stable user groups, and (2) McFeKDeTD, a multi-client inner product functional encryption scheme with a lightweight zero-knowledge proof protocol, designed for systems with dynamically changing workers. Both schemes are designed to preserve privacy of sensory data, weights, and estimated truths while resisting active attacks.
Classification
Original source: http://ieeexplore.ieee.org/document/11522985
First tracked: July 31, 2026 at 08:04 PM
Classified by LLM (prompt v3) · confidence: 92%