Results 61 to 70 of about 535 (178)
A neural network framework based on ConvNeXt for side-channel hardware Trojan detection
ETRI JournalResearchers in the field of hardware security have been dedicated to the study of hardware Trojan detection. Among the various approaches, side-channel detection methods are widely used because of their high detection accuracy and fewer constraints ...
Yuchan Gao +4 more
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A Hardware Trojan Detection Method Based on Structural Features of Trojan and Host Circuits
IEEE Access, 2019 Modern IC designs often involve outsourced IP cores. It is convinced that there are opportunities in which the IP cores contain malicious logic, namely hardware Trojan (HT), which raises serious concerns about the trustworthiness of ICs used in mission ...
Qiang Liu, Pengyong Zhao, Fuqiang Chen
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Trojan playground: a reinforcement learning framework for hardware Trojan insertion and detection
The Journal of SupercomputingCurrent Hardware Trojan (HT) detection techniques are mostly developed based on a limited set of HT benchmarks. Existing HT benchmark circuits are generated with multiple shortcomings, i.e., i) they are heavily biased by the designers' mindset when created, and ii) they are created through a one-dimensional lens, mainly the signal activity of nets.
Amin Sarihi +3 more
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Hardware Trojan Detection in Open-Source Hardware Designs Using Machine Learning
IEEE AccessThe globalization of the hardware supply chain reduces costs but increases security challenges with the potential insertion of hardware trojans by third parties.
Victor Takashi Hayashi +1 more
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PRISTINE: An Emulation Platform for PCB-Level Hardware Trojans
IEEE AccessPrinted circuit Boards (PCBs) are becoming increasingly vulnerable to malicious design alteration, also known as Trojan attacks, due to a distributed business model that often involves various untrusted parties.
Junjun Huan +3 more
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Hardware Trojan Design and Detection in Pre-Charge Half Buffer Asynchronous Circuits
IEEE AccessThe escalating landscape of cyber warfare has made the detection of hardware Trojans, malicious circuit components capable of leaking sensitive information, a critical research priority.
Chukwunalu Asuai +3 more
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Circuits as Graphs: A Review of Graph Learning for Secure and Trustworthy Hardware
IEEE AccessModern Integrated Circuits (ICs) are highly interconnected, making graph representation a natural foundation for hardware security analysis. In recent years, graph-based approaches have gained significant traction in addressing a wide range of hardware ...
Afjal Hossan Sarower +2 more
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Dataset for hardware Trojan detection
, 2022 Nowadays, cloud services rely extensively on the use of virtual machines to enforce security by isolation. However, hardware trojan attacks break this assumption. Within these attacks, cache side-channel attacks such as Spectre and Meltdown are the focus of this work.
openaire +1 more source
Robust hardware Trojan detection leveraging dual-domain features and stacked ensemble learning
CybersecurityCyber-physical systems rely on sensors, communication, and computing, all powered by integrated circuits (ICs). These ICs are vulnerable to malicious hardware attacks, with hardware Trojans being one of the stealthiest threats.
Sefatun-Noor Puspa +5 more
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