A hardware trojan detection method for gate-level netlists employing the CAMELOT measure

M Priyadharshini, P Saravanan… - 2024 7th International …, 2024 - ieeexplore.ieee.org
Nowadays, hardware designs are at an all-time high demand which has forced
manufacturers to procure intellectual property from third-party vendors. Nevertheless, the …

Enhancing Trojan Detection using Machine Learning: Comparative Analysis of Classifier Performance on Embedded Hardware

R Parmar, N Gajjar - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
In today's connected world, malware attacks, especially Trojan attacks are rapidly rising. A
Trojan is a form of malware that takes on a legitimate piece of software but is malicious and …

Hardware trojan detection in ISCAS-89 circuits using supervised machine learning algorithms

JP Ketan, AA Shetty - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Hardware Trojans pose a substantial risk to integrated circuits (ICs). It is critical to discover
these unauthorised alterations within the first stages of manufacture, if not before mass …

Unifying Traditional and Machine Learning Approaches for Robust Malware Classification

PV Anil, AS Sreehitha, PA Rohan… - … on Intelligent Systems …, 2024 - ieeexplore.ieee.org
The pervasive nature of cybersecurity threats necessitates innovative approaches to bolster
defense mechanisms. This research introduces a dynamic and adaptive framework for …