Truthful incentive mechanism with location privacy-preserving for mobile crowdsourcing systems

被引：107
|
作者：
Wang, Yingjie [1 ,2 ]
Cai, Zhipeng [3 ,4 ]
Tong, Xiangrong [2 ]
Gao, Yang [2 ]
Yin, Guisheng [3 ]
机构：
[1] South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510006, Guangdong, Peoples R China
[2] Yantai Univ, Sch Comp & Control Engn, Yantai 264005, Peoples R China
[3] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China
[4] Georgia State Univ, Dept Comp Sci, Atlanta, GA 30303 USA
来源：
COMPUTER NETWORKS | 2018年 / 135卷
基金：
中国博士后科学基金; 中国国家自然科学基金; 美国国家科学基金会;
关键词：
Mobile crowdsourcing; Incentive mechanism; Auction algorithm; K-anonymity; Differential privacy; K-ANONYMITY;
D O I：
10.1016/j.comnet.2018.02.008
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the rapid development of mobile devices, mobile crowdsourcing has become an important research focus. In order to improve the efficiency and truthfulness of mobile crowdsourcing systems, this paper proposes a truthful incentive mechanism with location privacy-preserving for mobile crowdsourcing systems. The improved two-stage auction algorithm based on trust degree and privacy sensibility (TATP) is proposed. In addition, the k - epsilon-differential privacy-preserving is proposed to prevent users' location information from being leaked. Through comparison experiments, the effectiveness of the proposed incentive mechanism is verified. The proposed incentive mechanism with location privacy-preserving can inspire users to participate sensing tasks, and protect users' location privacy effectively. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码：32 / 43
页数：12
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