Hardware Trojans Detection Through RTL Features Extraction and Machine Learning
Author:
Affiliation:
1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9698822/9699480/09699658.pdf?arnumber=9699658
Reference15 articles.
1. Proof-Carrying Hardware Intellectual Property: A Pathway to Trusted Module Acquisition
2. Efficient Control-Flow Subgraph Matching for Detecting Hardware Trojans in RTL Models
3. Detecting RTL Trojans using Artificial Immune Systems and High Level Behavior Classification
4. Blinding HT: Hiding Hardware Trojan Signals Traced Across Multiple Sequential Levels;zhang;IET Circuits Devices & Systems,2021
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