Distributed Authorization and Reliability-Aware Hardware Security for Photovoltaic Monitoring

Unattended photovoltaic monitoring nodes must maintain authenticated operation under physical access, intermittent connectivity, and environmentally induced key-reconstruction errors. We present a distributed adaptive hardware security framework (DAHSF) combining trusted-gateway threshold authorization, adaptive static random-access memory (SRAM) physical unclonable function (PUF) reconstruction, and incident-driven inspection. Independent epoch secrets separate current authorization from retained historical shares. A nested Bose–Chaudhuri–Hocquenghem (BCH) error-correction scheme reconstructs a fixed 2016-bit SRAM-PUF response, from which universal hashing extracts a 256-bit seed; federated estimation guides decoding effort. The cost and defense trade-offs are assessed under the tested workload, gateway trust, prediction-calibration, and availability conditions. On a 30-node ESP32 platform, DAHSF reduces median startup and mean node power by 4.8% and 4.4% relative to a matched lightweight baseline, with 14.3% more incremental RAM. Predicted-bound decoding reduces mean decoding time from 96 to 59 microseconds. A separate confirmatory cohort records three failures in 120,000 stressed reconstructions; its board-clustered 95% upper bound is 8.6×10−5. In the moderate attack scenario, the full inspection profile reduces compromised-node exposure by 30.0% relative to a risk-threshold policy and by 18.0% relative to frozen propagation-rate estimates. The recorded control workload has no observed 1 ms MPPT deadline misses, while fault injection still bypasses authorization in 168 of 4000 attempts.

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Published
2026-10-09
DOI
https://doi.org/10.3390/info17101004
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
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article

Distributed Authorization and Reliability-Aware Hardware Security for Photovoltaic Monitoring

Jintao Xue, Zeyu Li, Jincheng Wang, Wei Guo et al.
Information
Physical Unclonable Functions (PUFs) and Hardware Security
article

Distributed Authorization and Reliability-Aware Hardware Security for Photovoltaic Monitoring

Jintao Xue, Zeyu Li, Jincheng Wang, Wei Guo, Yanzhi Li, Wanhao Hu, Zhao Huang, Guoze Xu
article en

Abstract

Unattended photovoltaic monitoring nodes must maintain authenticated operation under physical access, intermittent connectivity, and environmentally induced key-reconstruction errors. We present a distributed adaptive hardware security framework (DAHSF) combining trusted-gateway threshold authorization, adaptive static random-access memory (SRAM) physical unclonable function (PUF) reconstruction, and incident-driven inspection. Independent epoch secrets separate current authorization from retained historical shares. A nested Bose–Chaudhuri–Hocquenghem (BCH) error-correction scheme reconstructs a fixed 2016-bit SRAM-PUF response, from which universal hashing extracts a 256-bit seed; federated estimation guides decoding effort. The cost and defense trade-offs are assessed under the tested workload, gateway trust, prediction-calibration, and availability conditions. On a 30-node ESP32 platform, DAHSF reduces median startup and mean node power by 4.8% and 4.4% relative to a matched lightweight baseline, with 14.3% more incremental RAM. Predicted-bound decoding reduces mean decoding time from 96 to 59 microseconds. A separate confirmatory cohort records three failures in 120,000 stressed reconstructions; its board-clustered 95% upper bound is 8.6×10−5. In the moderate attack scenario, the full inspection profile reduces compromised-node exposure by 30.0% relative to a risk-threshold policy and by 18.0% relative to frozen propagation-rate estimates. The recorded control workload has no observed 1 ms MPPT deadline misses, while fault injection still bypasses authorization in 168 of 4000 attempts.

InformationVol. 17(10)
North University of China (CN), Thermal Power Research Institute (CN), Xi’an University of Posts and Telecommunications (CN)
Openalex Percentile: Top 8%
Physical Unclonable Functions (PUFs) and Hardware Security
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Distributed Authorization and Reliability-Aware Hardware Security for Photovoltaic Monitoring — Jintao Xue, Zeyu Li, et al. · Information (2026) | TGRS Research Map | TGRS