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https://hdl.handle.net/2440/133474
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Type: | Conference paper |
Title: | ROSITA: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers |
Author: | Shelton, M.A. Samwel, N. Batina, L. Regazzoni, F. Wagner, M. Yarom, Y. |
Citation: | Proceedings of the 2021 Network and Distributed System Security Symposium, 2021, pp.23137-1-23137-17 |
Publisher: | Internet Society |
Issue Date: | 2021 |
ISBN: | 1-891562-66-5 9781891562662 |
Conference Name: | Network and Distributed Systems Security Symposium (NDSS) (21 Feb 2021 - 25 Feb 2021 : virtual online) |
Statement of Responsibility: | Madura A. Shelton, Niels Samwel, Lejla Batina, Francesco Regazzoni, Markus Wagner, Yuval Yarom |
Abstract: | Since their introduction over two decades ago, sidechannel attacks have presented a serious security threat. While many ciphers’ implementations employ masking techniques to protect against such attacks, they often leak secret information due to unintended interactions in the hardware. We present ROSITA, a code rewrite engine that uses a leakage emulator which we amend to correctly emulate the micro-architecture of a target system. We use ROSITA to automatically protect masked implementations of AES, ChaCha, and Xoodoo. For AES and Xoodoo, we show the absence of observable leakage at 1 000 000 traces with less than 21% penalty to the performance. For ChaCha, which has significantly more leakage, ROSITA eliminates over 99% of the leakage, at a performance cost of 64%. |
Rights: | Copyright © 2021 by the Internet Society. All rights reserved. This volume is published as a collective work. The Internet Society owns the copyright for this publication and the copyrights to the individual papers are retained by their respective author[s]. |
DOI: | 10.14722/ndss.2021.23137 |
Grant ID: | http://purl.org/au-research/grants/arc/DE200101577 http://purl.org/au-research/grants/arc/DP200102364 http://purl.org/au-research/grants/arc/DP210102670 |
Published version: | https://www.ndss-symposium.org/ndss2021/accepted-papers/ |
Appears in Collections: | Computer Science publications |
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