Results 101 to 110 of about 1,852 (218)

Towards hardware Trojan resilient convolutional neural networks accelerators

Convolutional neural network accelerators are increasingly used in safety-critical applications, including autonomous vehicles. Therefore, particularly vulnerable to hardware Trojan insertion, a security attack that takes place during the development of ...
Kazmierski, Tom J., Halak, Basel, Sun, Peiyao   +2 more
core   +1 more source

Hardware Trojan Attacks in FPGA Devices: Threat Analysis and Effective Counter Measures

, 2014
Reconfigurable hardware including Field programmable gate arrays (FPGAs) are being used in a wide range of embedded applications including signal processing, multimedia, and security. FPGA device production is often outsourced to off-shore facilities for
Aswin Krishna, Ghosh, Anandaroop, Mal-Sarkar, Sanchita, Bhunia, Swarup, Sanchita Mal-Sarkar, Swarup Bhunia, Anandaroop Ghosh, Krishna, Aswin   +7 more
core   +1 more source

X-Attack 2.0: The Risk of Power Wasters and Satisfiability Don’t-Care Hardware Trojans to Shared Cloud FPGAs

IEEE Access
Cloud computing environments increasingly provision field-programmable gate arrays (FPGAs) for their programmability and hardware-level parallelism. While FPGAs are typically used by one tenant at a time, multitenant schemes supporting spatial sharing of
Dina G. Mahmoud, Beatrice Shokry, Vincent Lenders, Wei Hu, Mirjana Stojilovic   +4 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

Towards hardware trojan resilient design of convolutional neural networks

The use of hardware accelerators for convolutional neural networks (CNN) is on the rise due to the popularity of artificial intelligence in autonomous vehicles, industrial control systems, and intrusion detection techniques.
Halak, Basel, Sun, Peiyao, Kazmierski, Tomasz   +2 more
core   +1 more source

Hardware Trojan Design and Detection in Pre-Charge Half Buffer Asynchronous Circuits

IEEE Access
The 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, Mousam Hossain, Ashiq A. Sakib, Kushal K. Ponugoti   +3 more
doaj   +1 more source

Hardware Trojan Dataset of RISC-V and Web3 Generated with ChatGPT-4

Data
Although hardware trojans impose a relevant threat to the hardware security of RISC-V and Web3 applications, existing datasets have a limited set of examples, as the most famous hardware trojan dataset TrustHub has 106 different trojans.
Victor Takashi Hayashi, Wilson Vicente Ruggiero   +1 more
doaj   +1 more source

Private Circuits III: Hardware Trojan-Resilience via Testing Amplification

, 2016
Security against hardware trojans is currently becoming an essential ingredient to ensure trust in information systems. A variety of solutions have been introduced to reach this goal, ranging from reactive (i.e., detection-based) to preventive (i.e ...
Faust, Sebastian, Dziembowski, Stefan, Standaert, François-Xavier, 23rd ACM Conference on Computer and Communications Security   +3 more
core   +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 Dataset of RISC-V and Web3

<p>This dataset contains hardware trojans of RISC-V and Web3 (Crypto Wallet and Proof-of-Work Miner) in Verilog.</p> <p>A total of 10 golden models were obtained from GitHub (https://github.com/Saazh/Trojan-D2/tree/main/TrojanD2 ...
Hayashi, Victor
core   +1 more source