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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3404-3409

Dynamic incentive mechanism with privacy-preserving in mobile crowd sensing

Liang Yan1,2
An Jian2
Hu Xianzhi3
Si Haifeng1
1. School of Technology, Xi'an Siyuan University, Xi'an 710038, China
2. Shenzhen Research Institute of Xi'an Jiaotong University, Shenzhen Guangdong 518057, China
3. Center of Network Information & Management, Xi'an University of Technology, Xi'an 710048, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0431

Abstract

Aiming at the contradiction between high-quality perception data and user privacy in mobile crowd sensing system, this paper proposed a dynamic incentive mechanism with privacy-preserving. Firstly, it used the lightweight privacy-preserving method and a secure encryption hash function to generate a variable address sequence of not less than 256 bit for the bidding user, and integrated a random number to conceal and constraint the data utility price of the candidate user node. Secondly, by defining multi-dimensional parameters such as regional heat, time heat, data integrity rate and data quality, it realized the dynamic balance between task value and data utility price. Finally, based on the data utility price of the user and task budget, and using the reverse auction, it completed the optimal selection and dynamic incentive for the task participation nodes. Simulation experiments on the mobile crowd sensing system simulation platform show that the proposed mechanism not only enhances the privacy-preserving and data accuracy, but also improves the time efficiency and incentive effect.

Foundation Support

国家自然科学基金资助项目(61502380)
深圳市科技计划项目(JCYJ20170816100939373)
西安思源学院科研项目(XASY-B1802)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0431
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Technology of Information Security
Pages: 3404-3409
Serial Number: 1001-3695(2019)11-046-3404-06

Publish History

[2019-11-05] Printed Article

Cite This Article

梁艳, 安健, 胡先智, 等. 移动群智感知中支持隐私保护的动态激励机制 [J]. 计算机应用研究, 2019, 36 (11): 3404-3409. (Liang Yan, An Jian, Hu Xianzhi, et al. Dynamic incentive mechanism with privacy-preserving in mobile crowd sensing [J]. Application Research of Computers, 2019, 36 (11): 3404-3409. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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