Hybrid CMOS–SiNW FET Logic-Locking Architecture with Adaptive Key-Gate Mapping for Hardware Security

The rapid globalization of semiconductor manufacturing has increased the risk of intellectual property (IP) theft, reverse engineering, and malicious hardware tampering. Traditional CMOS-only logic-locking approaches suffer from predictable key-gate patterns, vulnerability to SAT-based attacks, and increased power–area overhead. To address these limitations, this work presents a Hybrid CMOS–SiNW FET Logic-Locking Architecture integrated with an Adaptive Key-Gate Mapping Engine, leveraging the compact gate-electrostatics and enhanced transistor-level tunability of Silicon-Nanowire Field-Effect Transistors (SiNW-FETs). The proposed method embeds evolvable XOR–XNOR encryption gates co-implemented in 14-nm CMOS and 10-nm SiNW-FET technology nodes, dynamically selected based on controllability, observability, entropy, and power-side channel vulnerability metrics. Experimental results on ISCAS-85 and ITC-99 benchmarks reveal that the hybrid locking framework achieves 6.8× higher SAT-attack resistance, 38% improvement in key-space obfuscation entropy, 22.6% reduction in power overhead, and 19.4% lower area penalty compared to conventional CMOS-only locking. Chip-level simulation in TCAD indicates secure operation under voltage and temperature variation with a measured 45% improvement in side-channel leakage immunity due to SiNW-FET electrostatic confinement. The architecture introduces a post-silicon adaptive re-mapping capability, complicating oracle-guided and removal attacks. Results demonstrate that hybrid CMOS–SiNW logic-locking enables ultra low cost, power efficient, and resilient hardware security, making it suitable for secure IoT SoCs, military-grade processors, and FPGA-based cryptographic units.

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Publication Details

Journal
Journal of Nanoelectronics and Optoelectronics
Published
2025-09-01
DOI
https://doi.org/10.1166/jno.2025.3815
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
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article

Hybrid CMOS–SiNW FET Logic-Locking Architecture with Adaptive Key-Gate Mapping for Hardware Security

B. Dhanam, P. Marichamy
Journal of Nanoelectronics and Optoelectronics
Physical Unclonable Functions (PUFs) and Hardware Security
article

Hybrid CMOS–SiNW FET Logic-Locking Architecture with Adaptive Key-Gate Mapping for Hardware Security

B. Dhanam, P. Marichamy
article en

Abstract

The rapid globalization of semiconductor manufacturing has increased the risk of intellectual property (IP) theft, reverse engineering, and malicious hardware tampering. Traditional CMOS-only logic-locking approaches suffer from predictable key-gate patterns, vulnerability to SAT-based attacks, and increased power–area overhead. To address these limitations, this work presents a Hybrid CMOS–SiNW FET Logic-Locking Architecture integrated with an Adaptive Key-Gate Mapping Engine, leveraging the compact gate-electrostatics and enhanced transistor-level tunability of Silicon-Nanowire Field-Effect Transistors (SiNW-FETs). The proposed method embeds evolvable XOR–XNOR encryption gates co-implemented in 14-nm CMOS and 10-nm SiNW-FET technology nodes, dynamically selected based on controllability, observability, entropy, and power-side channel vulnerability metrics. Experimental results on ISCAS-85 and ITC-99 benchmarks reveal that the hybrid locking framework achieves 6.8× higher SAT-attack resistance, 38% improvement in key-space obfuscation entropy, 22.6% reduction in power overhead, and 19.4% lower area penalty compared to conventional CMOS-only locking. Chip-level simulation in TCAD indicates secure operation under voltage and temperature variation with a measured 45% improvement in side-channel leakage immunity due to SiNW-FET electrostatic confinement. The architecture introduces a post-silicon adaptive re-mapping capability, complicating oracle-guided and removal attacks. Results demonstrate that hybrid CMOS–SiNW logic-locking enables ultra low cost, power efficient, and resilient hardware security, making it suitable for secure IoT SoCs, military-grade processors, and FPGA-based cryptographic units.

Journal of Nanoelectronics and OptoelectronicsVol. 20(9)
ASA College (US)
Openalex Percentile: Top 30%
Physical Unclonable Functions (PUFs) and Hardware Security
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