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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.
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AC Computing Methodology for RF Powered IoT Security
Hardware security is a critical challenge for various emerging applications in the massive deployment of IoT devices due to lack of computing resources. In this paper, an energy- efficient AC computing methodology is proposed to facilitate lightweight encryption in RF powered devices such as RFIDs. Contrary to conventional methods that rely on rectification and regulation, the wirelessly harvested AC signal is directly used to drive the data processing circuity by leveraging charge- recycling mechanism. To quantify the advantages of the proposed framework, SIMON block cipher, a lightweight cryptography al- gorithm, is implemented in both AC computing and conventional methods. The simulation results demonstrate that the proposed methodology achieves up to 34 times reduction in power and enables a relatively powerful encryption core to be embedded within resource-constrained IoT devices.
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- Award ID(s):
- 1646318
- PAR ID:
- 10073299
- Date Published:
- Journal Name:
- Government Microcircuit Applications & Critical Technology Conference,
- Page Range / eLocation ID:
- 939 - 944
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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