Developing Quantum Trusted Platform Module (QTPM) to Advance IoT Security

Guobin Xu (), Oluwole Adetifa, Jianzhou Mao, Eric Sakk and Shuangbao Wang
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Guobin Xu: The Department of Computer Science, Morgan State University, Baltimore, MD 21251, USA
Oluwole Adetifa: The Department of Computer Science, Morgan State University, Baltimore, MD 21251, USA
Jianzhou Mao: The Department of Computer Science, Morgan State University, Baltimore, MD 21251, USA
Eric Sakk: The Department of Computer Science, Morgan State University, Baltimore, MD 21251, USA
Shuangbao Wang: The Department of Computer Science, Morgan State University, Baltimore, MD 21251, USA

Future Internet, 2025, vol. 17, issue 5, 1-17

Abstract: Randomness is integral to computer security, influencing fields such as cryptography and machine learning. In the context of cybersecurity, particularly for the Internet of Things (IoT), high levels of randomness are essential to secure cryptographic protocols. Quantum computing introduces significant risks to traditional encryption methods. To address these challenges, we propose investigating a quantum-safe solution for IoT-trusted computing. Specifically, we implement the first lightweight, practical integration of a quantum random number generator (QRNG) with a software-based trusted platform module (TPM) to create a deployable quantum trusted platform module (QTPM) prototype for IoT systems to improve cryptographic capabilities. The proposed quantum entropy as a service (QEaaS) framework further extends quantum entropy access to legacy and resource-constrained devices. Through the evaluation, we compare the performance of QRNG with traditional Pseudo-random Number Generators (PRNGs), demonstrating the effectiveness of the quantum TPM. Our paper highlights the transformative potential of integrating quantum technology to bolster IoT security.

Keywords: IoT security; quantum random number generator (QRNG); trusted platform module (TPM); quantum entropy as a service (QEaaS) (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
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