Paper 2025/010

A Combinatorial Approach to IoT Data Security

Anandarup Roy, Indian Statistical Institute
Bimal Kumar Roy, Indian Statistical Institute
Kouichi Sakurai, Kyushu University
Suprita Talnikar, Radboud University Nijmegen
Abstract

This article explores the potential of Secret Sharing-Based Internet of Things (SBIoT) as a promising cryptographic element across diverse applications, including secure data storage in commercial cloud systems (Datachest), smart home environments (encompassing sensors, cameras, smart locks, and smart assistants), and e-health applications (protecting patient data and medical records). Beyond these applications, the paper makes two key contributions: the introduction of a novel cheater identification algorithm designed to verify the correct submission of shares during secret reconstruction, and empirical validation through experimental studies to support the theoretical advancements. This multifaceted approach not only demonstrates the versatility of SBIoT but also proposes innovative mechanisms to enhance security and integrity, contributing to the development of a more robust cryptographic framework. This article expands upon the work presented in the poster "A Combinatorial Approach to IoT Data Security" at IWSEC 2023, Yokohama, Japan.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Preprint.
Keywords
Combinatorial Secret SharingVerifiabilityInternet of ThingsKronecker Product of BIBDsFrameproofness
Contact author(s)
ananda1101 @ gmail com
bimalroy isi @ gmail com
sakuraicsce2009g @ gmail com
suprita45 @ gmail com
History
2025-01-03: approved
2025-01-02: received
See all versions
Short URL
https://ia.cr/2025/010
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2025/010,
      author = {Anandarup Roy and Bimal Kumar Roy and Kouichi Sakurai and Suprita Talnikar},
      title = {A Combinatorial Approach to {IoT} Data Security},
      howpublished = {Cryptology {ePrint} Archive, Paper 2025/010},
      year = {2025},
      url = {https://eprint.iacr.org/2025/010}
}
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