Welcome to the resource topic for 2024/272
Title:
Deep Learning Based Analysis of Key Scheduling Algorithm of Advanced Ciphers
Authors: Narendra Kumar Patel, Hemraj Shobharam Lamkuche
Abstract:The advancements in information technology have made the Advanced Encryption Standard (AES) and the PRESENT cipher indispensable in ensuring data security and facilitating private transactions. AES is renowned for its flexibility and widespread use in various fields, while the PRESENT cipher excels in lightweight cryptographic situations. This paper delves into a dual examination of the Key Scheduling Algorithms (KSAs) of AES and the PRESENT cipher, which play a crucial role in generating round keys for their respective encryption techniques. By implementing deep learning methods, particularly a Neural Network model, our study aims to unravel the complexities of these KSAs and shed light on their inner workings.
ePrint: https://eprint.iacr.org/2024/272
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