Root Security Parameter Generation Mechanism Based on SRAM PUF for Smart Terminals in Power IoT

1. Trust-oriented IoT service placement for smart cities in edge computing10.1109/JIOT.2019.2959124 ↗

2. Trusted cloud-edge network resource management: DRL-driven service function chain orchestration for IoT10.1109/JIOT.2019.2951593 ↗

3. Cooperative computation offloading and resource allocation for delay minimization in mobile edge computing10.1016/j.sysarc.2021.102167 ↗

4. Wireless and computing resource allocation for selfish computation offloading in edge computing

5. Guidelines for Smart Grid Cybersecurity

6. Mitigating load-altering attacks against power grids using cyber-resilient economic dispatch10.1109/TSG.2022.3231563 ↗

7. Ivest RL, Adleman L, Dertouzos ML. On data banks and privacy homomorphisms. [cited 2025 Jan 10]. Available from: https://luca-giuzzi.unibs.it/corsi/Support/papers-cryptography/RAD78.pdf.

8. Physical layer security for IoT over Nakagami-m and mixed Rayleigh-Nakagami-m fading channels10.1007/s11276-023-03422-5 ↗

9. AID4I: an intrusion detection framework for industrial Internet of Things using automated machine learning

10. A federated learning approach for authentication and user identification based on behavioral biometrics

11. FPGA intrinsic PUFs and their use for IP protection

12. Secure key generation from biased PUFs

13. Physical unclonable functions and applications: a tutorial10.1109/JPROC.2014.2320516 ↗

14. PUF modeling attacks: an introduction and overview

15. RPUF: physical unclonable function with randomized challenge to resist modeling attack

16. A machine-learning classifier implemented in a standard 6T SRAM array

17. Machine learning resistant strong PUF: possible or a pipe dream

18. A sequence dependent challenge-response PUF using 28nm SRAM 6T bit cell

19. Delay model and machine learning exploration of a hardware-embedded delay PUF

20. Machine learning based modeling attacks on a configurable PUF

21. Breaking the lightweight secure PUF: understanding the relation of input transformations and machine learning resistance

22. 2SPUF: machine learning attack resistant SRAM PUF

23. Solar particle event and single event upset prediction from SRAM-based monitor and supervised machine learning

24. Identification and classification of corrupted PUF responses via machine learning

25. RBNN: memory-efficient reconfigurable deep binary neural network with IP protection for Internet of Things10.1109/TCAD.2022.3197499 ↗

26. Performance evaluation of SRAM-PUF based on 7-nm, 10-nm and 14-nm FinFET technology nodes

27. Estimation during design phases of suitable SRAM cells for PUF applications using separatrix and mismatch metrics10.3390/electronics10121479 ↗

28. Huada Semiconductor Co., Ltd. Huada Semiconductor’s Subsidiary Xiaohua Semiconductor Awarded “Best MCU Chip of 2023”. [cited 2025 Jan 10]. Available from: https://www.hdsc.com.cn/108.html.