Journal ArticleDOI
Hardware Trojan Attacks: Threat Analysis and Countermeasures
Swarup Bhunia,Michael S. Hsiao,Mainak Banga,Seetharam Narasimhan +3 more
- Vol. 102, Iss: 8, pp 1229-1247
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TLDR
The threat of hardware Trojan attacks is analyzed; attack models, types, and scenarios are presented; different forms of protection approaches are discussed; and emerging attack modes, defenses, and future research pathways are described.Abstract:
Security of a computer system has been traditionally related to the security of the software or the information being processed. The underlying hardware used for information processing has been considered trusted. The emergence of hardware Trojan attacks violates this root of trust. These attacks, in the form of malicious modifications of electronic hardware at different stages of its life cycle, pose major security concerns in the electronics industry. An adversary can mount such an attack with an objective to cause operational failure or to leak secret information from inside a chip-e.g., the key in a cryptographic chip, during field operation. Global economic trend that encourages increased reliance on untrusted entities in the hardware design and fabrication process is rapidly enhancing the vulnerability to such attacks. In this paper, we analyze the threat of hardware Trojan attacks; present attack models, types, and scenarios; discuss different forms of protection approaches, both proactive and reactive; and describe emerging attack modes, defenses, and future research pathways.read more
Citations
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Proceedings ArticleDOI
Detection of Hardware Trojan using CNN with Residual Network
TL;DR: In this paper , a deep convolutional neural network (DCNN) model with residual unit was proposed for hardware trojan detection, with the goal of high detection accuracy, and the accuracy of the model in detecting malicious hardware was then assessed against cutting-edge algorithms.
Proceedings ArticleDOI
Using Path Features for Hardware Trojan Detection Based on Machine Learning Techniques
Chia-Heng Yen,Kai-Chiang Wu +1 more
TL;DR: In this article , the authors proposed a novel method for hardware Trojan detection using specific path features at the gate level, where path classifiers can be trained with SVM and RF algorithms using the path features from the trained circuits.
Proceedings ArticleDOI
Design, Threat Analysis and Countermeasure for a Cache Performance Affecting Hardware Trojan
TL;DR: This work has started with the design of a Hardware Trojan that affects the system performance by intervening the cache replacement policy in a Many-core system, and has subsequently approached toward the final objective of devising a low-cost countermeasure to thwart the attack.
References
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Journal ArticleDOI
A Survey of Hardware Trojan Taxonomy and Detection
TL;DR: A classification of hardware Trojans and a survey of published techniques for Trojan detection are presented.
Proceedings ArticleDOI
Trojan Detection using IC Fingerprinting
TL;DR: These results show that Trojans that are 3-4 orders of magnitude smaller than the main circuit can be detected by signal processing techniques and provide a starting point to address this important problem.
Proceedings ArticleDOI
Hardware Trojan detection using path delay fingerprint
Yier Jin,Yiorgos Makris +1 more
TL;DR: A new behavior-oriented category method is proposed to divide trojans into two categories: explicit payload trojan and implicit payloadtrojan, which makes it possible to construct trojan models and then lower the cost of testing.
Journal ArticleDOI
A taxonomy of computer program security flaws
TL;DR: This survey provides a taxonomy for computer program security flaws, with an Appendix that documents 50 actual security flaws that provide a good introduction to the characteristics of security flaws and how they can arise.
Journal ArticleDOI
Trustworthy Hardware: Identifying and Classifying Hardware Trojans
TL;DR: A proposed new hardware Trojan taxonomy provides a first step in better understanding existing and potential threats.