Hardware Trojan detection using path delay fingerprint

By Yier Jin, Yiorgos Makris. 2008 IEEE International Workshop on Hardware-Oriented Security and Trust, 2008

651 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/181e373a99fa10c4065189e6b4c7f13ca119bacd

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In Electrical and Electronic Engineering

In Hardware and Architecture

Citations in the corpus

A Survey of Hardware Trojan Taxonomy and Detection (2010, methodology): “Jin and Makris proposed a new fingerprintgenerating method using path delay information of the entire chip.(17) A chip has many delay paths, each representing one part of the characteristic of the entire chip.”
Counterfeit Integrated Circuits: A Rising Threat in the Global Semiconductor Supply Chain (2014, methodology): “Path-delay fingerprinting, a method first introduced in [17] in the context of hardware Trojan detection, is adapted in [18] for detecting recycled ICs.”
Hardware Trojan Attacks: Threat Analysis and Countermeasures (2014, background): “Trojan detection is the path delay [38], [39].”
A Primer on Hardware Security: Models, Methods, and Metrics (2014, methodology): “This work was supported in part by the U.S. Office of Naval Research (ONR) under Grant R17460 and the National Science Foundation (NSF) under Grants to Rice University (CNS-1059416) and NYU (CNS-1059328 and CCF-1319841), NYU/NYU-AD Center for Research in Information Security Studies and Privacy (CRI”
Hardware Trojan: Threats and emerging solutions (2009, background): “The paper describes several security mechanisms to be performed by the control plane; however, it does not discuss the technical challenges and the design overhead.”
On design vulnerability analysis and trust benchmarks development (2013, positive): “Using these methodologies, we have developed a large number of trust benchmarks that are available for use by the public, as well as researchers and practitioners in the field.”
MERO: A Statistical Approach for Hardware Trojan Detection (2009, methodology): “Thus, the technique can be used as complementary to the side–channel Trojan detection approaches [1,9,10,11] which are more effective in detecting large Trojans (e.”
Hardware Trojan Attacks on Neural Networks (2018, background): “In the literature, various types of hardware Trojans have been developed [15], [16], [26], [27].”