Hardware Trojan Attacks: Threat Analysis and Countermeasures

By Swarup Bhunia, M. Hsiao, Mainak Banga, Seetharam Narasimhan. Proceedings of the IEEE, 2014

678 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/085cdec32ef770cce3b919ad5c0e7edf92c0d300

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. Arsalan Mosenia
2. Niraj Kumar Jha

In Electrical and Electronic Engineering

1. Arsalan Mosenia
2. Niraj Kumar Jha
3. Yu Wang

In Hardware and Architecture

1. Arsalan Mosenia
2. Niraj Kumar Jha
3. Yu Wang

Citations in the corpus

• Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks (2018, background): “They can be categorized into seven types by the type of triggers [31] and cause unexpected results, e.g. information leakage and Denial-of-Service.”
• A Comprehensive Study of Security of Internet-of-Things (2017, background): “In order to insert a hardware Trojan in the original circuitry, the attacker maliciously alters the design before/during fabrication and specifies a triggering mechanism that activates the malicious behavior of the Trojan [19].”