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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 4
1198-1203

Indistinguishable sensing time privacy-preserving task allocation scheme for vehicular crowdsensing

Zhang Lei1,2,3
Zhang Xiao1,2
Ji Lili1
1. College of Information Science & Electronic Technology, Jiamusi University, Jiamusi Heilongjiang 154007, China
2. The Heilongjiang Provincial Key Laboratory of Autonomous Intelligence & Information Processing, School of Information Science & Electronic Technology, Jiamusi University, Jiamusi Heilongjiang 154007, China
3. Jiamusi Key Laboratory of Satellite Navigation Technology & Equipment Engineering Technology, Jiamusi Heilongjiang 154007, China
DOI: 10.19734/j.issn.1001-3695.2024.09.0320

Abstract

In the task allocation of vehicular crowdsensing, most privacy protection mechanisms expose users to potential temporal sensing inferences, enabling attackers to deduce sensitive user information. To address this issue, this paper proposed a privacy-preserving task allocation scheme that ensured indistinguishability of sensing times. Firstly, to meet the demand for privacy protection of sensing times, this scheme applied differential privacy technology to add Laplace noise to the original dwell data of vehicles, thereby obfuscating the data. Secondly, considering the travel time between tasks, it calculated the probability of vehicle users completing the sensing tasks, which helped to determine if task allocation could proceed. If the probability was greater than zero, it allocated all tasks reasonably to ensure load balancing; otherwise, no further tasks were assigned. Thus, this scheme provided privacy protection for sensing times on one hand and ensured the effectiveness of task allocation on the other. Finally, by comparing this scheme with others and analyzing their relative performance through simulation experiments, the results further confirm the superiority of the proposed scheme.

Foundation Support

黑龙江省省属高等学校基本科研业务费优秀创新团队建设项目(2022-KYYWF-0654)
佳木斯大学国家基金培育项目(JMSUGPZR2022-014)
黑龙江省自主智能与信息处理重点实验室开放课题(ZZXC202302)
佳木斯大学“东极”学术团队(DJXSTD202417)
黑龙江省省属本科高校优秀青年教师基础研究支持计划资助项目(YQJH2024239)
佳木斯大学博士专项科研启动项目(JMSUBZ2024-07)
黑龙江省自然科学基金联合基金培育项目(PL2024F002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0320
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 4
Section: Technology of Network & Communication
Pages: 1198-1203
Serial Number: 1001-3695(2025)04-031-1198-06

Publish History

[2025-04-05] Printed Article

Cite This Article

张磊, 张潇, 纪莉莉. 感知时间不可区分的车辆群智感知隐私保护任务分配方案 [J]. 计算机应用研究, 2025, 42 (4): 1198-1203. (Zhang Lei, Zhang Xiao, Ji Lili. Indistinguishable sensing time privacy-preserving task allocation scheme for vehicular crowdsensing [J]. Application Research of Computers, 2025, 42 (4): 1198-1203. )

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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