Please use this identifier to cite or link to this item: 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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