Integrating Post-Quantum Cryptography and Blockchain to Secure Low-Cost IoT Devices

In the contemporary era, the global proliferation of Internet of Things (IoT) devices exceeds 15 billion, serving functions from wearables to smart grid monitoring. These devices frequently manage sensitive data, underscoring the need for secure and reliable IoT networks leveraging blockchain technology. A key innovation of this study is an approach to mitigate vulnerabilities that quantum computing poses to blockchain-based IoT systems, which existing cryptographic methods cannot effectively address. Quantum computers could exploit these weaknesses to compromise key-pair generation and extract private keys from transaction signatures. To overcome this, the research introduces an optimized implementation of the post-quantum digital signature algorithm Dilithium-5, ensuring blockchain security and quantum readiness. These transaction signatures are designed for low-power, cost-effective microcontrollers, such as the ESP32, making the solution accessible for a wide range of IoT devices. In addition, the study includes a case study involving a post-quantum safe portable device for measuring blood oxygen levels and heart rate, illustrating the practical benefits and effectiveness of the proposed solution in enhancing IoT security against quantum threats. The results demonstrate that the proposed approach ensures quantum-resistant security while maintaining performance efficiency, making it suitable for real-world IoT applications.

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Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2024-11-18
DOI
https://doi.org/10.1109/tii.2024.3485796
Citations
39
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
30.39
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article

Integrating Post-Quantum Cryptography and Blockchain to Secure Low-Cost IoT Devices

Aniello Castiglione, Matteo Polsinelli, Vincenzo Loia, Michele Nappi et al.
39 citations
IEEE Transactions on Industrial Informatics
Blockchain Technology Applications and Security
30.39
article

Integrating Post-Quantum Cryptography and Blockchain to Secure Low-Cost IoT Devices

Aniello Castiglione, Matteo Polsinelli, Vincenzo Loia, Michele Nappi, Chiara Pero, Jacopo Gennaro Esposito
article en
39 citations

Abstract

In the contemporary era, the global proliferation of Internet of Things (IoT) devices exceeds 15 billion, serving functions from wearables to smart grid monitoring. These devices frequently manage sensitive data, underscoring the need for secure and reliable IoT networks leveraging blockchain technology. A key innovation of this study is an approach to mitigate vulnerabilities that quantum computing poses to blockchain-based IoT systems, which existing cryptographic methods cannot effectively address. Quantum computers could exploit these weaknesses to compromise key-pair generation and extract private keys from transaction signatures. To overcome this, the research introduces an optimized implementation of the post-quantum digital signature algorithm Dilithium-5, ensuring blockchain security and quantum readiness. These transaction signatures are designed for low-power, cost-effective microcontrollers, such as the ESP32, making the solution accessible for a wide range of IoT devices. In addition, the study includes a case study involving a post-quantum safe portable device for measuring blood oxygen levels and heart rate, illustrating the practical benefits and effectiveness of the proposed solution in enhancing IoT security against quantum threats. The results demonstrate that the proposed approach ensures quantum-resistant security while maintaining performance efficiency, making it suitable for real-world IoT applications.

IEEE Transactions on Industrial InformaticsVol. 21(2)
University of Salerno (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 0%
Blockchain Technology Applications and Security
30.39
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Integrating Post-Quantum Cryptography and Blockchain to Secure Low-Cost IoT Devices — Aniello Castiglione, Matteo Polsinelli, et al. · IEEE Transactions on Industrial Informatics (2024) | TGRS Research Map | TGRS