PPTA : A location privacy-preserving and flexible task assignment service for spatial crowdsourcing

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

5 Scopus Citations
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Author(s)

  • Menglun Zhou
  • Songlei Wang
  • Zhongyun Hua
  • Hejiao Huang
  • Yansong Gao

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number109600
Journal / PublicationComputer Networks
Volume224
Online published31 Jan 2023
Publication statusPublished - Apr 2023

Abstract

With the rapid growth of sensor-rich mobile devices, spatial crowdsourcing (SC) has emerged as a new crowdsourcing paradigm harnessing the crowd to perform location-dependent tasks. To appropriately select workers that are near the tasks, SC systems need to perform location-based task assignment, which requires collecting worker locations and task locations. Such practice, however, may easily compromise the location privacy of workers. In light of this, in this paper, we design, implement, and evaluate PPTA, a new system framework for location privacy-preserving task assignment in SC with strong security guarantees. PPTA takes advantage of only lightweight cryptography (such as additive secret sharing, function secret sharing, and secure shuffle), and provides a suite of tailored secure components required by practical location-based task assignment processes. Specifically, aiming for practical usability, PPTA is designed to flexibly support two realistic task assignment settings: (i) the online setting where tasks arrive and get processed at the SC platform one by one, and (ii) the batch-based setting where tasks arrive and get processed in a batch. Extensive experiments over a real-world dataset demonstrate that while providing strong security guarantees, PPTA supports task assignment with efficacy comparable to plaintext baselines and with promising performance. © 2023 Elsevier B.V. All rights reserved.

Research Area(s)

  • Spatial crowdsourcing, Task assignment, Location privacy, SECURITY

Citation Format(s)

PPTA: A location privacy-preserving and flexible task assignment service for spatial crowdsourcing. / Zhou, Menglun; Zheng, Yifeng; Wang, Songlei et al.
In: Computer Networks, Vol. 224, 109600, 04.2023.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review