Data-Driven Synthesis of Provably Sound Side Channel Analyses

We propose a data-driven method for synthesizing static analyses to detect side-channel information leaks in cryptographic software. Compared to the conventional way of manually crafting such static analyzers, which can be tedious, error prone and suboptimal, our learning-based technique is not only...

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Bibliographic Details

Published in:	Proceedings / International Conference on Software Engineering pp. 810 - 822
Main Authors:	Wang, Jingbo, Sung, Chungha, Raghothaman, Mukund, Wang, Chao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2021
Subjects:	Cryptographic protocols Cryptography Software Software algorithms Static analysis Training data
ISBN:	1665402962, 9781665402965
ISSN:	1558-1225
Online Access:	Get full text
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