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dx.doi.org/10.1109/ATS.2014.44
265. G. Tsoutsos, M. Maniatakos, Fabrication attacks: Zero-overhead malicious modifications
enabling modern microprocessor privilege escalation. IEEE Trans. Emer. Topics Comput.
2(1), 81–93 (2014), http://dx.doi.org/10.1109/TETC.2013.2287186
266. H. Salmani, M. Tehranipoor, R. Karri, On design vulnerability analysis and trust benchmarks
development. In Proceedings of the 2013 IEEE 31st International Conference on Computer
Design (ICCD 2013) (2013), pp. 471–474, http://dx.doi.org/10.1109/ICCD.2013.6657085
267. C. Bao, D. Forte, A. Srivastava, On application of one-class SVM to reverse engineeringbased hard-ware Trojan detection in Proceedings of the 2014 15th International Symposium
on Quality Electronic Design (ISQED 2014) (2014), pp. 47–54, https://doi.org/10.1109/isqed.
2014.6783305
268. S. Bhunia, M.S. Hsiao, M. Banga, S. Narasimhan, Hardware Trojan attacks: threat analysis
and countermeasures. Proc. IEEE 102(8) (Aug. 2014), 1229–1247, https://doi.org/10.1109/
jproc.2014.2334493
269. X. Wang, M. Tehranipoor, J. Plusquellic, Detecting malicious inclusions in secure hardware:
challenges and solutions, in Proceedings of the IEEE International Workshop on HardwareOriented Security and Trust, 2008 (HOST 2008) (2008), pp. 15–19, https://doi.org/10.1109/
hst.2008.4559039
270. Y. Jin and Y Makris. Hardware Trojan Detection using Path Delay Fingerprint, in IEEE
International Symposium on Hardware Oriented Security and Trust (HOST) (2008)
271. K. Xiao, X. Zhang, M. Tehranipoor, A clock sweeping technique for detecting hardware
Trojans impacting circuits delay, in IEEE Design Test 30, 2 (April 2013 (2013)), pp. 26–34,
https://doi.org/10.1109/mdat.2013.2249555
272. J. Aarestad, D. Acharyya, R. Rad, J. Plusquellic, Detecting Trojans through leakage current
analysis using multiple supply pad IDDQ. IEEE Trans. Inf. Forensics Secur. 5(4), 893–904
(Dec. 2010), http://dx.doi.org/10.1109/TIFS.2010.2061228
273. D. Forte, C. Bao, A. Srivastava, Temperature tracking: an innovative runtime approach for
hardware Trojan detection, in Proceedings of the 2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2013) ( 2013), pp.532–539, https://doi.org/10.1109/
iccad.2013.6691167
274. F. Stellari, P. Song, A.J. Weger, J. Culp, A. Herbert, D. Pfeiffer, Verification of untrusted
chips using trusted layout and emission measurements, in Proceedings of the 2014 IEEE
International Symposium on Hardware-Oriented Security and Trust (HOST 2014) (2014),
pp.19–24, https://doi.org/10.1109/hst.2014.6855562
275. B. Zhou, R. Adato, M. Zangeneh, T. Yang, A. Uyar, B. Goldberg, S. Unlu, A. Joshi, Detecting
hardware Trojans using backside optical imaging of embedded watermarks, in Proceedings of
the 201552nd ACM/EDAC/IEEEDesign Automation Conference (DAC 2015) (2015), pp. 1–6,
http://dx.doi.org/10.1145/2744769.2744822
276. H. Salmani, M. Tehranipoor, Analyzing circuit vulnerability to hardware Trojan insertion
at the behavioral level, Proceedings of the 2013 IEEE International Symposium on Defect
and Fault Tolerance in VLSI and Nanotechnology Systems (DFT 2013) (2013), pp. 190–195,
http://dx.doi.org/10.1109/DFT.2013.6653605
277. A. Waksman, M. Suozzo, S. Sethumadhavan, FANCI: Identification of stealthy malicious logic
using Boolean functional analysis, in Proceedings of the 2013 ACMSIGSAC Conference on
Computer & Communications Security (CCS 2013) (ACM, New York, NY) (2013), pp. 697–
708, https://doi.org/10.1145/2508859.2516654
278. M. Oya, Youhua Shi, M. Yanagisawa, N. Togawa, A score-based classification method for
identifying hardware-Trojans at gate-level netlists, in Proceedings of the Design, Automation
Test in Europe Conference Exhibition (DATE 2015) (2015), pp. 465–470
279. J. Rajendran, V. Vedula, R. Karri, Detecting malicious modifications of data in third-party
intellectual property cores, in Proceedings of the 52nd Annual Design Automation Conference
(DAC 2015) (ACM, New York, NY, 2015), Article 112, 6 p., https://doi.org/10.1145/2744769.
2744823
