Results 101 to 110 of about 1,192 (212)

Robust hardware Trojan detection leveraging dual-domain features and stacked ensemble learning

Cybersecurity
Cyber-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, Abyad Enan, Reek Majumder, M Sabbir Salek, Gurcan Comert, Mashrur Chowdhury   +5 more
doaj   +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

Characteristic Reassignment for Hardware Trojan Detection

, 2021
With the current business model and increasing complexity of hardware designs, third-party Intellectual Properties (IPs) are prevalently incorporated into first-party designs.
Waller, Noah
core   +1 more source

Hardware Trojan Detection in Cryptography IP Cores by Library Encoding Method

, 2015
Security is the primary issue in current internet world through both software and hardware. The ever increase in demand of consumer electronics requires less design cycle.
Penumetcha, Dinesh Varma
core   +1 more source

Optimized ATPG for Hardware Trojan Detection.

, 2017
Combating the threats imposed by hardware Trojans that are covertly inserted in hardware has surfaced as a challenging problem in recent times. An adversary may maliciously tamper the given SoC design at netlist level to insert Trojans for the purpose of
Chowdhury, Animesh Basak
core  

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 framework for hardware trojan detection based on contrastive learning. [PDF]

Sci Rep
Jiang Z, Ding Q.
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