A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things
With the development of the Internet of Things, smart devices are widely used. Hardware security is one key issue in the security of the Internet of Things. As the core component of the hardware, the integrated circuit must be taken seriously with its security. The pre-silicon detection methods do n...
Saved in:
Main Authors: | Chen Dong, Jinghui Chen, Wenzhong Guo, Jian Zou |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-12-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147719888098 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on hardware Trojan defense
by: Kan WANG, et al.
Published: (2017-09-01) -
Overview of the detection and prevention study of hardware Trojans
by: Qiang XU, et al.
Published: (2017-04-01) -
Hardware Trojans detection based on projection pursuit
by: Peng ZHANG, et al.
Published: (2013-04-01) -
Design and detection of hardware Trojan based on satisfiability don't cares
by: Lingjuan WU, et al.
Published: (2021-04-01) -
Survey on model checking based hardware Trojan detection technology
by: Qizhi ZHANG, et al.
Published: (2021-04-01)