Efficient Correlation Power Analysis (CPA) Focusing on Byte-Wise Calculation Points
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeon, Youngbae | - |
dc.contributor.author | Jung, Ji Hyuk | - |
dc.contributor.author | Yoon, Ji Won | - |
dc.date.accessioned | 2022-03-12T22:40:21Z | - |
dc.date.available | 2022-03-12T22:40:21Z | - |
dc.date.created | 2021-12-07 | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/138774 | - |
dc.description.abstract | Correlation Power Analysis (CPA) uses a lot of computational resources for deploying side-channel analysis to power traces. For every guessing key, it searches all data points and all power traces to reveal the secret key implemented in the encryption module. In this work, we propose a novel technique to narrow down the target region for applying CPA to the power traces. As byte-wise operations occur in every clock period, the assumed amplitude value based on the power consumption model and the actual amplitude are most correlated at the points where the peaks are observed. We extract the calculation points of each power trace using signal processing and machine learning techniques, and select the region where the CPA will be applied to. Our proposed approach achieves an approximately 20% improvement in accuracy and requires less computational resources compared to conventional CPA. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | IMPLEMENTATIONS | - |
dc.title | Efficient Correlation Power Analysis (CPA) Focusing on Byte-Wise Calculation Points | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yoon, Ji Won | - |
dc.identifier.doi | 10.1109/ACCESS.2021.3079960 | - |
dc.identifier.scopusid | 2-s2.0-85105881411 | - |
dc.identifier.wosid | 000673534000001 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.9, pp.74275 - 74285 | - |
dc.relation.isPartOf | IEEE ACCESS | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 9 | - |
dc.citation.startPage | 74275 | - |
dc.citation.endPage | 74285 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | IMPLEMENTATIONS | - |
dc.subject.keywordAuthor | Clocks | - |
dc.subject.keywordAuthor | Power demand | - |
dc.subject.keywordAuthor | Correlation | - |
dc.subject.keywordAuthor | Encryption | - |
dc.subject.keywordAuthor | Power measurement | - |
dc.subject.keywordAuthor | Time complexity | - |
dc.subject.keywordAuthor | Detection algorithms | - |
dc.subject.keywordAuthor | Side-channel analysis | - |
dc.subject.keywordAuthor | correlation power analysis | - |
dc.subject.keywordAuthor | simple power analysis | - |
dc.subject.keywordAuthor | peak detection | - |
dc.subject.keywordAuthor | k-means algorithm | - |
dc.subject.keywordAuthor | AES | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.