A side channel based power analysis technique for hardware trojan detection using statistical learning approach

Author:

Shende Roshni,Ambawade Dayanand D.

Publisher

IEEE

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Hardware Trojan Detection Method for Gate-Level Netlists Employing the CAMELOT Measure;2024 7th International Conference on Devices, Circuits and Systems (ICDCS);2024-04-23

2. RF Fingerprinting: Hardware-Trustworthiness Enhancement in the Hardware Trojan Era: RF Fingerprinting-Based Countermeasures;IEEE Microwave Magazine;2023-11

3. PRIDES: A Power Rising Descending Signature for Improving IoT Security;2023 IEEE 36th International System-on-Chip Conference (SOCC);2023-09-05

4. Real-Time Instruction Execution Monitoring with Hardware-Assisted Security Monitoring Unit in RISC-V Embedded Systems;2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC);2022-09

5. Novel Feature Selection for Non-destructive Detection of Hardware Trojans Using Hyperspectral Scanning;Journal of Hardware and Systems Security;2022-06

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