A Cube Attack on a Trojan-Compromised Hardware Implementation of Ascon-Reference-Cited by-同舟云学术

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A Cube Attack on a Trojan-Compromised Hardware Implementation of Ascon

Published:2021 Issue: Volume: Page:69-88
ISSN:
Container-title:Hardware Supply Chain Security
language:
Short-container-title:

Author:

Duarte-Sanchez Jorge E.,Halak Basel

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-62707-2_2

Reference28 articles.

1. M. Bozdal, M. Randa, M. Samie, I. Jennions, Hardware Trojan enabled denial of service attack on CAN bus. Proc. Manuf. 16, 47–52 (2018)

2. G.T. Becker, F. Regazzoni, C. Paar, W.P. Burleson, Stealthy dopant-level hardware Trojans, in Cryptographic Hardware and Embedded Systems—CHES 2013, Berlin, Heidelberg, 2013, pp. 197–214

3. C. Krieg, C. Wolf, A. Jantsch, Malicious LUT: a stealthy FPGA Trojan injected and triggered by the design flow, in Proceedings of the 35th International Conference on Computer-Aided Design—ICCAD’16, 2016, pp. 1–8

4. X. Wang, T. Mal-Sarkar, A. Krishna, S. Narasimhan, S. Bhunia, Software exploitable hardware Trojans in embedded processor, in Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems, 2012, pp. 55–58

5. Y. Jin, N. Kupp, Y. Makris, Experiences in hardware trojan design and implementation, in 2009 IEEE International Workshop on Hardware-Oriented Security and Trust, HOST 2009, 2009, pp. 50–57

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1. Fourteen years of cube attacks;Applicable Algebra in Engineering, Communication and Computing;2023-05-04

2. Intelligent Tamper Detection Systems using Machine Learning;2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS);2022-06-06

3. On the Feasibility of using Machine Learning for an Enhanced Physical Security of Embedded Devices;2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH);2022-05

4. Intelligent Anti-tamper Design for Embedded Systems Using Machine Learning;Machine Learning for Embedded System Security;2022

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