Hardware Trojan: Threats and emerging solutions

By Rajat Subhra Chakraborty, Seetharam Narasimhan, Swarup Bhunia. 2009 IEEE International High Level Design Validation and Test Workshop, 2009

440 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/b6689ac0b0dc742103abc8bbbb043dc51a36a2fc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Joseph Clements
2. Yingjie Lao
3. Chuan Guo
4. Swarup Bhunia
5. Kilian Q. Weinberger
6. Ruihan Wu

In Electrical and Electronic Engineering

1. Joseph Clements
2. Yingjie Lao
3. Seetharam Narasimhan
4. Chuan Guo
5. Swarup Bhunia
6. Kilian Q. Weinberger
7. Ruihan Wu

In Hardware and Architecture

1. Joseph Clements
2. Yingjie Lao
3. Seetharam Narasimhan
4. Chuan Guo
5. Swarup Bhunia
6. Kilian Q. Weinberger
7. Ruihan Wu

Citations in the corpus

• Hardware Trojan Attacks on Neural Networks (2018, methodology): “In the literature, various types of hardware Trojans have been developed [15], [16], [26], [27].”
• SecChisel Framework for Security Verification of Secure Processor Architectures (2019, background): “Hardware bugs or Trojans at design time are considered, but after-manufacturing bugs [7] are orthogonal to this work.”
• TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks (2020, background): “Similar attacks have also been studied in depth for hardware circuits (Chakraborty et al., 2009).”
• Hardware Trojan Attacks: Threat Analysis and Countermeasures (2014, methodology): “Logic testing approaches, both functional and structural, attempt to develop directed test patterns to activate unknown Trojan instances and propagating their effects to output ports [7].”