计算机工程与科学2024，Vol.46Issue(8)：1414-1424,11.DOI:10.3969/j.issn.1007-130X.2024.08.010
区域敏感的群智感知隐私保护任务分配机制
A privacy-preserving region-sensitive crowdsensing task allocation mechanism
摘要
Abstract
To address the efficiency and privacy issues caused by the geographical insensitivity of ex-isting mobile crowdsensing task allocation mechanisms,a task allocation mechanism based on regional heat(HTPM)is designed.This mechanism realizes personalized task publishing through the analysis of historical data,improving the success rate of worker applications and reducing the number of location privacy exposures.Firstly,an adaptive grid partitioning algorithm based on the Geohash algorithm(GAGM)is used to divide the task area based on historical data analysis.Then,HTPM assigns task matching prefixes corresponding to the task locations based on the division results,and dynamically up-dates the task matching prefixes based on the recruitment end time to complete task publishing.Finally,the least probable cost winner selection mechanism(LPC-WSM)is adopted to select winners.Simula-tion experiments based on the Kaggle taxi route dataset show that the average number of applications per person using the HTPM mechanism is reduced by 30.3％,achieving the goal of ensuring location privacy protection strength and improving task allocation efficiency.关键词
移动群智感知/任务分配/位置隐私保护/差分隐私/GeohashKey words
mobile crowdsensing/task assignment/location privacy protection/differential privacy/Geohash分类
信息技术与安全科学引用本文复制引用
王永军,刘瀚阳,王辉,申自浩,刘琨,刘沛骞..区域敏感的群智感知隐私保护任务分配机制[J].计算机工程与科学,2024,46(8):1414-1424,11.基金项目
国家自然科学基金(61300216) （61300216）
河南省高等学校重点科研项目(23A520033) （23A520033）
河南理工大学博士基金(B2020-32,B2022-16) （B2020-32,B2022-16）
