Evaluation of the complexity of automated trace alignment using novel power obfuscation methods

Bozhi Liu; Kemeng Chen; Minjun Seo; Janet Wang; Roman Lysecky

doi:10.1145/3194554.3194640

Evaluation of the complexity of automated trace alignment using novel power obfuscation methods

Bozhi Liu, Kemeng Chen, Minjun Seo, Janet Wang, Roman Lysecky

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents a methodology for evaluating power obfuscation approaches that seek to obfuscate the location of sensitive operations in the power trace, thereby increasing the complexity of automated trace alignment. The paper presents a new adversary model and proposes a new metric, mean trials to success (MTTS), to evaluate power obfuscation methods in the context of automated trace alignment. We evaluate two common obfuscation methods, namely instruction shuffling and random instruction insertion, and we present a new obfuscation method using power shaping to intentionally mislead the attacker.

Original language	English (US)
Title of host publication	GLSVLSI 2018 - Proceedings of the 2018 Great Lakes Symposium on VLSI
Publisher	Association for Computing Machinery
Pages	467-470
Number of pages	4
ISBN (Electronic)	9781450357241
DOIs	https://doi.org/10.1145/3194554.3194640
State	Published - May 30 2018
Event	28th Great Lakes Symposium on VLSI, GLSVLSI 2018 - Chicago, United States Duration: May 23 2018 → May 25 2018

Publication series

Name	Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI

Other

Other	28th Great Lakes Symposium on VLSI, GLSVLSI 2018
Country/Territory	United States
City	Chicago
Period	5/23/18 → 5/25/18

Keywords

Automated trace alignment
Embedded systems
Power obfuscation
Power shaping
Side channel attacks

ASJC Scopus subject areas

General Engineering

Access to Document

10.1145/3194554.3194640

Cite this

Liu, B., Chen, K., Seo, M., Wang, J., & Lysecky, R. (2018). Evaluation of the complexity of automated trace alignment using novel power obfuscation methods. In GLSVLSI 2018 - Proceedings of the 2018 Great Lakes Symposium on VLSI (pp. 467-470). (Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI). Association for Computing Machinery. https://doi.org/10.1145/3194554.3194640

Evaluation of the complexity of automated trace alignment using novel power obfuscation methods. / Liu, Bozhi; Chen, Kemeng; Seo, Minjun et al.
GLSVLSI 2018 - Proceedings of the 2018 Great Lakes Symposium on VLSI. Association for Computing Machinery, 2018. p. 467-470 (Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Liu, B, Chen, K, Seo, M, Wang, J & Lysecky, R 2018, Evaluation of the complexity of automated trace alignment using novel power obfuscation methods. in GLSVLSI 2018 - Proceedings of the 2018 Great Lakes Symposium on VLSI. Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI, Association for Computing Machinery, pp. 467-470, 28th Great Lakes Symposium on VLSI, GLSVLSI 2018, Chicago, United States, 5/23/18. https://doi.org/10.1145/3194554.3194640

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abstract = "This paper presents a methodology for evaluating power obfuscation approaches that seek to obfuscate the location of sensitive operations in the power trace, thereby increasing the complexity of automated trace alignment. The paper presents a new adversary model and proposes a new metric, mean trials to success (MTTS), to evaluate power obfuscation methods in the context of automated trace alignment. We evaluate two common obfuscation methods, namely instruction shuffling and random instruction insertion, and we present a new obfuscation method using power shaping to intentionally mislead the attacker.",

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Evaluation of the complexity of automated trace alignment using novel power obfuscation methods

Abstract

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Keywords

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