Cryptology ePrint Archive: Report 2019/1372

Analyzing the Linear Keystream Biases in AEGIS

Maria Eichlseder and Marcel Nageler and 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.

Category / Keywords: secret-key cryptography / Authenticated encryption, CAESAR, AEGIS, Linear cryptanalysis

Original Publication (in the same form): IACR-FSE-2020

Date: received 28 Nov 2019

Contact author: maria eichlseder at iaik tugraz at, marcel nageler at student tugraz at, rprimas at gmail com

Available format(s): PDF | BibTeX Citation

Version: 20191201:205444 (All versions of this report)

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