A Reliable and Privacy-Preserving Truth Discovery Scheme for Mobile Crowdsensing Based on Functional Encryption

Xiangwen Deng; Xiaofen Wang; Lin Li; Hong Ning Dai; Weixin Hu

doi:10.1007/978-981-96-0151-6_24

A Reliable and Privacy-Preserving Truth Discovery Scheme for Mobile Crowdsensing Based on Functional Encryption

Xiangwen Deng, Xiaofen Wang^*, Lin Li, Hong Ning Dai, Weixin Hu

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

The rapid proliferation of human-carried devices has facilitated the emergence of data collection paradigm called mobile crowdsensing. However, data collected from multiple sources may not be reliable and may contain privacy-sensitive information. To resolve these issues, privacy preserving truth discovery has been proposed as an effective mechanism to protect the privacy sensitive information while the truth is computed. Nevertheless, most existing works do not meet the requirements of full privacy protection and are not robust against malicious sensory data injection, as in these schemes outliers or data encrypted with wrong public key will greatly impact accuracy of the truth. In our paper, we present a reliable and privacy preserving truth discovery scheme (FE-TDS) which utilizes a combination of multi-client functional encryption (MCFE) and data perturbation technique to address the privacy issues. Moreover, we design two ciphertext-based filtering methods to remove outliers and data encrypted with wrong public key in a private manner. Detailed theoretical analysis has been conducted to demonstrate the security and feasibility of our scheme. Furthermore, external experiments have been carried out to demonstrate the effectiveness and practicality of our scheme.

Original language	English
Title of host publication	Frontiers in Cyber Security
Subtitle of host publication	7th International Conference, FCS 2024 Chongqing, China, July 26–28, 2024 Proceedings, Part I
Editors	Biwen Chen, Xinwen Fu, Min Huang
Place of Publication	Singapore
Publisher	Springer
Pages	365-382
Number of pages	18
ISBN (Electronic)	9789819601516
ISBN (Print)	9789819601509
DOIs	https://doi.org/10.1007/978-981-96-0151-6_24
Publication status	Published - 27 Dec 2024
Event	7th International Conference on Frontiers in Cyber Security, FCS 2024 - Chongqing, China Duration: 26 Jul 2024 → 28 Jul 2024 https://link.springer.com/book/10.1007/978-981-96-0151-6 (Conference proceedings, Part I) https://link.springer.com/book/10.1007/978-981-96-0154-7 (Conference proceedings, Part II)

Publication series

Name	Communications in Computer and Information Science
Volume	2315
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Name	FCS: International Conference on Frontiers in Cyber Security

Conference

Conference	7th International Conference on Frontiers in Cyber Security, FCS 2024
Country/Territory	China
City	Chongqing
Period	26/07/24 → 28/07/24
Internet address	https://link.springer.com/book/10.1007/978-981-96-0151-6 (Conference proceedings, Part I) https://link.springer.com/book/10.1007/978-981-96-0154-7 (Conference proceedings, Part II)

Scopus Subject Areas

General Computer Science
General Mathematics

User-Defined Keywords

mobile crowdsensing
privacy protection
truth discovery

Access to Document

10.1007/978-981-96-0151-6_24

Cite this

Deng, X., Wang, X., Li, L., Dai, H. N., & Hu, W. (2024). A Reliable and Privacy-Preserving Truth Discovery Scheme for Mobile Crowdsensing Based on Functional Encryption. In B. Chen, X. Fu, & M. Huang (Eds.), Frontiers in Cyber Security: 7th International Conference, FCS 2024 Chongqing, China, July 26–28, 2024 Proceedings, Part I (pp. 365-382). (Communications in Computer and Information Science; Vol. 2315), (FCS: International Conference on Frontiers in Cyber Security). Springer. https://doi.org/10.1007/978-981-96-0151-6_24

Deng, Xiangwen ; Wang, Xiaofen ; Li, Lin et al. / A Reliable and Privacy-Preserving Truth Discovery Scheme for Mobile Crowdsensing Based on Functional Encryption. Frontiers in Cyber Security: 7th International Conference, FCS 2024 Chongqing, China, July 26–28, 2024 Proceedings, Part I. editor / Biwen Chen ; Xinwen Fu ; Min Huang. Singapore : Springer, 2024. pp. 365-382 (Communications in Computer and Information Science). (FCS: International Conference on Frontiers in Cyber Security).

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title = "A Reliable and Privacy-Preserving Truth Discovery Scheme for Mobile Crowdsensing Based on Functional Encryption",

abstract = "The rapid proliferation of human-carried devices has facilitated the emergence of data collection paradigm called mobile crowdsensing. However, data collected from multiple sources may not be reliable and may contain privacy-sensitive information. To resolve these issues, privacy preserving truth discovery has been proposed as an effective mechanism to protect the privacy sensitive information while the truth is computed. Nevertheless, most existing works do not meet the requirements of full privacy protection and are not robust against malicious sensory data injection, as in these schemes outliers or data encrypted with wrong public key will greatly impact accuracy of the truth. In our paper, we present a reliable and privacy preserving truth discovery scheme (FE-TDS) which utilizes a combination of multi-client functional encryption (MCFE) and data perturbation technique to address the privacy issues. Moreover, we design two ciphertext-based filtering methods to remove outliers and data encrypted with wrong public key in a private manner. Detailed theoretical analysis has been conducted to demonstrate the security and feasibility of our scheme. Furthermore, external experiments have been carried out to demonstrate the effectiveness and practicality of our scheme.",

keywords = "mobile crowdsensing, privacy protection, truth discovery",

author = "Xiangwen Deng and Xiaofen Wang and Lin Li and Dai, {Hong Ning} and Weixin Hu",

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Deng, X, Wang, X, Li, L, Dai, HN & Hu, W 2024, A Reliable and Privacy-Preserving Truth Discovery Scheme for Mobile Crowdsensing Based on Functional Encryption. in B Chen, X Fu & M Huang (eds), Frontiers in Cyber Security: 7th International Conference, FCS 2024 Chongqing, China, July 26–28, 2024 Proceedings, Part I. Communications in Computer and Information Science, vol. 2315, FCS: International Conference on Frontiers in Cyber Security, Springer, Singapore, pp. 365-382, 7th International Conference on Frontiers in Cyber Security, FCS 2024, Chongqing, China, 26/07/24. https://doi.org/10.1007/978-981-96-0151-6_24

A Reliable and Privacy-Preserving Truth Discovery Scheme for Mobile Crowdsensing Based on Functional Encryption. / Deng, Xiangwen; Wang, Xiaofen; Li, Lin et al.
Frontiers in Cyber Security: 7th International Conference, FCS 2024 Chongqing, China, July 26–28, 2024 Proceedings, Part I. ed. / Biwen Chen; Xinwen Fu; Min Huang. Singapore: Springer, 2024. p. 365-382 (Communications in Computer and Information Science; Vol. 2315), (FCS: International Conference on Frontiers in Cyber Security).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - Deng, Xiangwen

AU - Wang, Xiaofen

AU - Li, Lin

AU - Dai, Hong Ning

AU - Hu, Weixin

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024/12/27

Y1 - 2024/12/27

N2 - The rapid proliferation of human-carried devices has facilitated the emergence of data collection paradigm called mobile crowdsensing. However, data collected from multiple sources may not be reliable and may contain privacy-sensitive information. To resolve these issues, privacy preserving truth discovery has been proposed as an effective mechanism to protect the privacy sensitive information while the truth is computed. Nevertheless, most existing works do not meet the requirements of full privacy protection and are not robust against malicious sensory data injection, as in these schemes outliers or data encrypted with wrong public key will greatly impact accuracy of the truth. In our paper, we present a reliable and privacy preserving truth discovery scheme (FE-TDS) which utilizes a combination of multi-client functional encryption (MCFE) and data perturbation technique to address the privacy issues. Moreover, we design two ciphertext-based filtering methods to remove outliers and data encrypted with wrong public key in a private manner. Detailed theoretical analysis has been conducted to demonstrate the security and feasibility of our scheme. Furthermore, external experiments have been carried out to demonstrate the effectiveness and practicality of our scheme.

AB - The rapid proliferation of human-carried devices has facilitated the emergence of data collection paradigm called mobile crowdsensing. However, data collected from multiple sources may not be reliable and may contain privacy-sensitive information. To resolve these issues, privacy preserving truth discovery has been proposed as an effective mechanism to protect the privacy sensitive information while the truth is computed. Nevertheless, most existing works do not meet the requirements of full privacy protection and are not robust against malicious sensory data injection, as in these schemes outliers or data encrypted with wrong public key will greatly impact accuracy of the truth. In our paper, we present a reliable and privacy preserving truth discovery scheme (FE-TDS) which utilizes a combination of multi-client functional encryption (MCFE) and data perturbation technique to address the privacy issues. Moreover, we design two ciphertext-based filtering methods to remove outliers and data encrypted with wrong public key in a private manner. Detailed theoretical analysis has been conducted to demonstrate the security and feasibility of our scheme. Furthermore, external experiments have been carried out to demonstrate the effectiveness and practicality of our scheme.

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Deng X, Wang X, Li L, Dai HN, Hu W. A Reliable and Privacy-Preserving Truth Discovery Scheme for Mobile Crowdsensing Based on Functional Encryption. In Chen B, Fu X, Huang M, editors, Frontiers in Cyber Security: 7th International Conference, FCS 2024 Chongqing, China, July 26–28, 2024 Proceedings, Part I. Singapore: Springer. 2024. p. 365-382. (Communications in Computer and Information Science). (FCS: International Conference on Frontiers in Cyber Security). doi: 10.1007/978-981-96-0151-6_24

A Reliable and Privacy-Preserving Truth Discovery Scheme for Mobile Crowdsensing Based on Functional Encryption

Abstract

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