Results 71 to 80 of about 535 (178)

Advances in Hardware Trojan Detection [PDF]

Computer, 2019
openaire   +1 more source

DART: Distribution-Aware Hardware Trojan Detection

IEEE Transactions on Information Forensics and Security
Machine Learning (ML) has proven effective in Integrated Circuits (IC) security, particularly in Hardware Trojan (HT) detection. However, a model’s generalization potential depends on its ability to address distribution shifts (DS) in unseen data. Mitigating DS enhances a model’s adaptability to novel variations and threats within the dynamic realm of ...
Luke Chen, Youssef Gamal, Yanda Li, Shih-Yuan Yu, Ihsen Alouani, Mohammad Abdullah Al Faruque   +5 more
openaire   +1 more source

MultiSAINT: Parallel Multi-Scale GNN for FPGA Hardware Trojan Detection

IEEE Access
Hardware Trojan poses a critical threat to integrated circuit security, especially in Field Programmable Gate Arrays (FPGAs) where trojans can be embedded during the design and synthesis phases that produce gate-level netlists.
Indri Yanti, Jazi Eko Istiyanto, Oskar Natan   +2 more
doaj   +1 more source

Natural Language Processing for Hardware Security: Case of Hardware Trojan Detection in FPGAs

Cryptography
Field-programmable gate arrays (FPGAs) offer the inherent ability to reconfigure at runtime, making them ideal for applications such as data centers, cloud computing, and edge computing. This reconfiguration, often achieved through remote access, enables
Jaya Dofe, Wafi Danesh, Vaishnavi More, Aaditya Chaudhari   +3 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 framework for hardware trojan detection based on contrastive learning. [PDF]

Sci Rep
Jiang Z, Ding Q.
europepmc   +1 more source

A Siamese deep learning framework for efficient hardware Trojan detection using power side-channel data. [PDF]

Sci Rep
Nasr A, Mohamed K, Elshenawy A, Zaki M.
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