Issue |
ITM Web Conf.
Volume 24, 2019
AMCSE 2018 - International Conference on Applied Mathematics, Computational Science and Systems Engineering
|
|
---|---|---|
Article Number | 02009 | |
Number of page(s) | 10 | |
Section | Computers | |
DOI | https://doi.org/10.1051/itmconf/20192402009 | |
Published online | 01 February 2019 |
Findings Annihilator(s) via Fault Injection Attack (FIA) on Boolean Function of Grain v0
1
Laboratory of Cryptography, Analysis and Structure, Institute for Mathematical Research, Universiti Putra Malaysia
2
Department of Mathematics, Faculty of Science, Universiti Putra Malaysia (UPM), Selangor, Malaysia
3
CyberSecurity Malaysia
* Corresponding author: wanzariman@cybersecurity.my
In developing stream cipher algorithms, Boolean function is one of vital elements. Attacks on LFSR-based stream cipher is the challenge for the cryptanalyst to get low-degree annihilator(s). In this paper, we proposed Fault Injection Attack (FIA) on Boolean function of Grain v0, which is the original variant of Grain family algorithm. Fault injection attack (FIA) is used on Boolean function of Grain v0 by replacing certain coefficient with value of one (1) which results in the generation of several injected Boolean functions. With these injected Boolean function, we proceed using HAO’s algorithm to find annihilator(s). As a result, we obtained several new annihilator(s) of Grain v0’s Boolean function. This new annihilator(s) will be utilized to launch algebraic attacks upon Grain v0.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.