Results 91 to 100 of about 9,568 (196)

Advances in Hardware Trojan Detection [PDF]

Computer, 2019
openaire   +1 more source

GNN-MFF: A Multi-View Graph-Based Model for RTL Hardware Trojan Detection

Applied Sciences
The globalization of hardware design flows has increased the risk of Hardware Trojan (HT) insertion during the design phase. Graph-based learning methods have shown promise for HT detection at the Register Transfer Level (RTL).
Senjie Zhang, Shan Zhou, Panpan Xue, Lu Kong, Jinbo Wang   +4 more
doaj   +1 more source

A cycle-level recovery method for embedded processor against HT tamper. [PDF]

Heliyon, 2023
Zhou W, Ye KH, Yuan S, Li L.
europepmc   +1 more source

Hardware Trojan Mitigation Technique in Network-on-Chip (NoC). [PDF]

Micromachines (Basel), 2023
Hussain M, Baloach NK, Ali G, ElAffendi M, Dhaou IB, Ullah SS, Uddin M.   +6 more
europepmc   +1 more source

A Circuit-Level Solution for Secure Temperature Sensor. [PDF]

Sensors (Basel), 2023
Kajol MA, Monjur MMR, Yu Q.
europepmc   +1 more source

A Review: The Beauty of Serendipity Between Integrated Circuit Security and Artificial Intelligence. [PDF]

Sensors (Basel)
Dong C, Qiu D, Li B, Yang Y, Lyu C, Cheng D, Zhang H, Chen Z.   +7 more
europepmc   +1 more source

Near-Field Microwave Sensing for Chip-Level Tamper Detection. [PDF]

Sensors (Basel)
Saadat Safa M, Tajik S.
europepmc   +1 more source

Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. [PDF]

Sensors (Basel)
Maghanaki M, Keramati S, Chen FF, Shahin M.   +3 more
europepmc   +1 more source

Intelligent Electromagnetic Sensors for Non-Invasive Trojan Detection. [PDF]

Sensors (Basel), 2021
Chen E, Kan J, Yang BY, Zhu J, Chen V.
europepmc   +1 more source

ChipletQuake: On-Die Digital Impedance Sensing for Chiplet and Interposer Verification. [PDF]

Sensors (Basel)
Khalaj Monfared S, Saadat Safa M, Tajik S.   +2 more
europepmc   +1 more source