Paper 2025/1445
Fairness Analysis on FairShare: A Secure Data Sharing Scheme for Industrial IoT
Abstract
In recent years and with the emergence of the industrial revolution, the secure data sharing schemes have been developed in IoT platforms and have been recognized as a hot topic in industry and academia. These schemes enable IoT devices to securely share their sensed data in industrial environments with clients through an appropriate infrastructure and intermediary entities. The research conducted in this field shows the existence of various security challenges and solutions. Data privacy, data authentication, fairness and accountability are some of the most important security features presented. Recently, in paper [Sengupta-Ruj-Bit, TNSM 2023] proposed a secure sharing scheme and claimed that it covers all the mentioned security features even when entities collude with each other. In this paper, we investigate the security analysis of this scheme, and show that it does not cover the claimed fairness property. Therefore, the mentioned scheme is vulnerable and cannot be used as a valid scheme in real-world applications.
Metadata
- Available format(s)
-
PDF
- Category
- Attacks and cryptanalysis
- Publication info
- Preprint.
- Keywords
- Fog computingInternet of thingsFairnessData privacyData authenticity
- Contact author(s)
- m rafiee @ mcs ui ac ir
- History
- 2025-11-07: revised
- 2025-08-08: received
- See all versions
- Short URL
- https://ia.cr/2025/1445
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2025/1445,
author = {Mojtaba Rafiee and Mehdi Abri},
title = {Fairness Analysis on {FairShare}: A Secure Data Sharing Scheme for Industrial {IoT}},
howpublished = {Cryptology {ePrint} Archive, Paper 2025/1445},
year = {2025},
url = {https://eprint.iacr.org/2025/1445}
}
