Permutation-Based Firmware Remote Attestation for Internet-of-Things Edge-Based Network

Firmware security in edge-enabled IoT devices is crucial, but existing methods struggle to balance strong protection with realistic hardware trust assumptions, device privacy, nontraceability, and resilience against attacks. This article addresses these challenges by introducing a novel permutation-based firmware attestation mechanism. Our method leverages edge servers as verifiers, low-cost memory, randomized permutations, and avalanche criteria for optimized security and efficiency. Rigorous formal and informal security analysis, coupled with performance evaluation, demonstrates superior performance against various attacks, achieving over 90% detection probability and effectively mitigating both remote and mobile software attacks. These results demonstrate the significant potential of our approach for enhancing firmware security in edge-enabled IoT devices.

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Publication Details

Journal
IEEE Systems Journal
Published
2025-03-27
DOI
https://doi.org/10.1109/jsyst.2025.3550055
Citations
3
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
4.46
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article

Permutation-Based Firmware Remote Attestation for Internet-of-Things Edge-Based Network

Zainab AlJabri, Jemal Abawajy
3 citations
IEEE Systems Journal
IoT and Edge/Fog Computing
4.46
article

Permutation-Based Firmware Remote Attestation for Internet-of-Things Edge-Based Network

Zainab AlJabri, Jemal Abawajy
article en
3 citations

Abstract

Firmware security in edge-enabled IoT devices is crucial, but existing methods struggle to balance strong protection with realistic hardware trust assumptions, device privacy, nontraceability, and resilience against attacks. This article addresses these challenges by introducing a novel permutation-based firmware attestation mechanism. Our method leverages edge servers as verifiers, low-cost memory, randomized permutations, and avalanche criteria for optimized security and efficiency. Rigorous formal and informal security analysis, coupled with performance evaluation, demonstrates superior performance against various attacks, achieving over 90% detection probability and effectively mitigating both remote and mobile software attacks. These results demonstrate the significant potential of our approach for enhancing firmware security in edge-enabled IoT devices.

IEEE Systems JournalVol. 19(2)
Deakin University (AU)
Openalex Percentile: Top 6%
IoT and Edge/Fog Computing
4.46
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