@inproceedings{871e7fd4cc234f119025e48507aba6c9,
title = "Near and Far Collision Attack on Masked AES",
abstract = "Collision attack is an effective method in the field of side-channel analysis to crack cryptographic algorithms, and masking can be used as a countermeasure. Most collision attacks only utilize the traces that will collide. In this paper, we propose a collision attack method that exploits not only traces tending to collide, but also non-colliding traces. It can bring higher efficiency and reduce the number of needed traces significantly. In addition, our method is a random-plaintext collision attack method instead of a chosen-plaintext attack. The experimental results show that our proposed approach is better than the existing collision-correlation attack proposed by Clavier et al. at CHES 2011 [11]. To achieve a high key recovery success rate at 80%, we use at least 60% less traces than collision-correlation attack.",
keywords = "Collision attack, Cryptography, Masking, Power analysis attack",
author = "Xiaoya Yang and Yongchuan Niu and Qingping Tang and Jiawei Zhang and Yaoling Ding and An Wang",
note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 10th International Conference on Computer Engineering and Networks, CENet 2020 ; Conference date: 16-10-2020 Through 18-10-2020",
year = "2021",
doi = "10.1007/978-981-15-8462-6_93",
language = "English",
isbn = "9789811584619",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "810--817",
editor = "Qi Liu and Xiaodong Liu and Tao Shen and Xuesong Qiu",
booktitle = "The 10th International Conference on Computer Engineering and Networks, CENet 2020",
address = "Germany",
}