A Survey on Security, Privacy, and Trust in Mobile Crowdsourcing

被引：99
作者：
Feng, Wei [1 ]
Yan, Zheng [1 ,2 ]
Zhang, Hengrun [3 ,4 ]
Zeng, Kai [3 ,4 ]
Xiao, Yu [2 ]
Hou, Y. Thomas [5 ]
机构：
[1] Xidian Univ, Sch Cyber Engn, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
[2] Aalto Univ, Dept Commun & Networking, Espoo 02150, Finland
[3] George Mason Univ, Dept Comp Sci, Dept Elect & Comp Engn, Fairfax, VA 22030 USA
[4] George Mason Univ, Ctr Secure Informat Syst, Fairfax, VA 22030 USA
[5] Virginia Polytech Inst & State Univ, Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
来源：
IEEE INTERNET OF THINGS JOURNAL | 2018年 / 5卷 / 04期
基金：
美国国家科学基金会; 芬兰科学院;
关键词：
Mobile crowdsourcing (MCS); privacy; security; trust; wireless sensor network (WSN); PARTICIPATORY SENSING APPLICATIONS; REPUTATION FRAMEWORK; INCENTIVE MECHANISM; CROWD; INTERNET; TRUSTWORTHINESS; MANAGEMENT; ASSURANCE; ANONYMITY; SYSTEM;
D O I：
10.1109/JIOT.2017.2765699
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the popularity of sensor-rich mobile devices (e.g., smart phones and wearable devices), mobile crowd-sourcing (MCS) has emerged as an effective method for data collection and processing. Compared with traditional wireless sensor networking, MCS holds many advantages such as mobility, scalability, cost-efficiency, and human intelligence. However, MCS still faces many challenges with regard to security, privacy, and trust. This paper provides a survey of these challenges and discusses potential solutions. We analyze the characteristics of MCS, identify its security threats, and outline essential requirements on a secure, privacy-preserving, and trustworthy MCS system. Further, we review existing solutions based on these requirements and compare their pros and cons. Finally, we point out open issues and propose some future research directions.
引用
收藏
页码：2971 / 2992
页数：22
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