A Lightweight Mechanism for Dynamic Secret Sharing of Private Data by Constrained Devices

Outsourced computations are essential for IoT devices, but they can raise privacy issues. Privacy-preserving technologies, such as Secure Multiparty Computation, can be used to delegate computations on private data from multiple devices while disclosing nothing but the output, but they may come at a prohibitive cost. In particular, Secret Sharing-based Secure Multiparty Computation requires the device to establish n independent confidential channels for each shared message, one channel per holder. This work proposes a new approach for IoT devices to secretly share private data with a committee of holders by broadcasting a single ciphertext. A straightforward solution is Homomorphic Encryption with Decryption to Shares from Chillotti et al., 2022, but it requires Fully Homomorphic Encryption and is not dynamic. Additionally, we propose Oblivious Sharing Re-Encryption, which is a new family of protocols that achieve this lightweight private data sharing without requiring Fully Homomorphic Encryption, and which is also more dynamic. We provide a concrete implementation based on NTRU encryption, together with a security proof and performance analysis. The analysis shows that OSRE outperforms the standard setting with n confidential channels when the device sends more than one message.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-03-27
DOI
https://doi.org/10.1109/jiot.2025.3555026
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00

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article

A Lightweight Mechanism for Dynamic Secret Sharing of Private Data by Constrained Devices

Isaac Agudo, Javier López, Daniel Morales
1 links
IEEE Internet of Things Journal
Cryptography and Data Security
article

A Lightweight Mechanism for Dynamic Secret Sharing of Private Data by Constrained Devices

Isaac Agudo, Javier López, Daniel Morales
article en

Abstract

Outsourced computations are essential for IoT devices, but they can raise privacy issues. Privacy-preserving technologies, such as Secure Multiparty Computation, can be used to delegate computations on private data from multiple devices while disclosing nothing but the output, but they may come at a prohibitive cost. In particular, Secret Sharing-based Secure Multiparty Computation requires the device to establish n independent confidential channels for each shared message, one channel per holder. This work proposes a new approach for IoT devices to secretly share private data with a committee of holders by broadcasting a single ciphertext. A straightforward solution is Homomorphic Encryption with Decryption to Shares from Chillotti et al., 2022, but it requires Fully Homomorphic Encryption and is not dynamic. Additionally, we propose Oblivious Sharing Re-Encryption, which is a new family of protocols that achieve this lightweight private data sharing without requiring Fully Homomorphic Encryption, and which is also more dynamic. We provide a concrete implementation based on NTRU encryption, together with a security proof and performance analysis. The analysis shows that OSRE outperforms the standard setting with n confidential channels when the device sends more than one message.

IEEE Internet of Things JournalVol. 12(13)
University of Lagos (NG)
Ministerio de Educación, Cultura y Deporte, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
Partnerships for the goals
Openalex Percentile: Top 97%
Cryptography and Data Security
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A Lightweight Mechanism for Dynamic Secret Sharing of Private Data by Constrained Devices — Isaac Agudo, Javier López, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS