The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Hardware Trojan Detection by Multiple-Parameter Side-Channel Analysis
Abstract
Hardware Trojan attack in the form of malicious modification of a design has emerged as a major security threat. Sidechannel analysis has been investigated as an alternative to conventional logic testing to detect the presence of hardware Trojans. However, these techniques suffer from decreased sensitivity toward small Trojans, especially because of the large process variations present in modern nanometer technologies. In this paper, we propose a novel noninvasive, multiple-parameter side-channel analysisbased Trojan detection approach. We use the intrinsic relationship between dynamic current and maximum operating frequency of a circuit to isolate the effect of a Trojan circuit from process noise. We propose a vector generation approach and several design/test techniques to improve the detection sensitivity. Simulation results with two large circuits, a 32-bit integer execution unit (IEU) and a 128-bit advanced encryption standard (AES) cipher, show a detection resolution of 1.12 percent amidst ±20 percent parameter variations. The approach is also validated with experimental results. Finally, the use of a combined side-channel analysis and logic testing approach is shown to provide high overall detection coverage for hardware Trojan circuits of varying types and sizes.
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Cites
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Alpha-power law MOSFET model and its applications to CMOS inverter delay and other formulas
Sakurai, T., & Newton, A. R. (1990) · IEEE Journal of Solid-State Circuits · doi:10.1109/4.52187 · Cited by 1,678
A Survey of Hardware Trojan Taxonomy and Detection
Tehranipoor, M., & Koushanfar, F. (2010) · IEEE Design & Test of Computers · doi:10.1109/mdt.2010.7 · Cited by 1,424
Parameter variations and impact on circuits and microarchitecture
Borkar, S., Karnik, T., Narendra, S., Tschanz, J., Keshavarzi, A., & De, V. (2003) · Proceedings of the 40th annual Design Automation Conference · doi:10.1145/775832.775920 · Cited by 1,412
Trojan Detection using IC Fingerprinting
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Hardware Trojan detection using path delay fingerprint
Jin, Y., & Makris, Y. (2008) · 2008 IEEE International Workshop on Hardware-Oriented Security and Trust · doi:10.1109/hst.2008.4559049 · Cited by 643
MERO: A Statistical Approach for Hardware Trojan Detection
Chakraborty, R. S., Wolff, F., Paul, S., Papachristou, C., & Bhunia, S. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-04138-9_28 · Cited by 474
Self-citationHardware Trojan: Threats and emerging solutions
Chakraborty, R. S., Narasimhan, S., & Bhunia, S. (2009) · 2009 IEEE International High Level Design Validation and Test Workshop · doi:10.1109/hldvt.2009.5340158 · Cited by 468
Self-citationAdee, S. (2008) · IEEE Spectrum · doi:10.1109/mspec.2008.4505310 · Cited by 421
Cited by
Hardware Trojan attacks: Threat analysis and countermeasures
Bhunia, S., Hsiao, M. S., Banga, M., & Narasimhan, S. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2334493 · Cited by 766
Self-citationMulti-dimensional analysis of embedded systems security
Elmiligi, H., Gebali, F., & El-Kharashi, M. W. (2016) · Microprocessors and Microsystems · doi:10.1016/j.micpro.2015.12.005 · Cited by 22
Metadata
- Authors
- Narasimhan, S., Du, D., Chakraborty, R. S., Paul, S., Wolff, F. G., Papachristou, C. A., Roy, K., & Bhunia, S.
- Venue
- IEEE Transactions on Computers
- Published
- 2013-11
- Volume
- 62
- Issue
- 11
- Pages
- 2183-2195
- ISSN
- 0018-9340 (ISSN-L)
- OpenAlex
- W1994094562
- Cited by
- 258
- References
- 27
- FWCI
- 17.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Narasimhan, S., Du, D., Chakraborty, R. S., Paul, S., Wolff, F. G., Papachristou, C. A., Roy, K., & Bhunia, S. (2013). Hardware Trojan Detection by Multiple-Parameter Side-Channel Analysis. IEEE Transactions on Computers. https://doi.org/10.1109/tc.2012.200
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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