Welcome to the resource topic for 2019/1372
Title:
Analyzing the Linear Keystream Biases in AEGIS
Authors: Maria Eichlseder, Marcel Nageler, Robert Primas
Abstract:AEGIS is one of the authenticated encryption designs selected for the final portfolio of the CAESAR competition. It combines the AES round function and simple Boolean operations to update its large state and extract a keystream to achieve an excellent software performance. In 2014, Minaud discovered slight biases in the keystream based on linear characteristics. For family member AEGIS-256, these could be exploited to undermine the confidentiality faster than generic attacks, but this still requires very large amounts of data. For final portfolio member AEGIS-128, these attacks are currently less efficient than generic attacks. We propose improved keystream approximations for the AEGIS family, but also prove upper bounds below 2^{-128} for the squared correlation contribution of any single suitable linear characteristic.
ePrint: https://eprint.iacr.org/2019/1372
See all topics related to this paper.
Feel free to post resources that are related to this paper below.
Example resources include: implementations, explanation materials, talks, slides, links to previous discussions on other websites.
For more information, see the rules for Resource Topics .