Name: Enhancing Cryptographic Systems Security Against Scas: Aes Algorithm & Deep Learning Technique (en Inglés)
SKU: 62088814
Price: 1741.13 MXN
Availability: InStock
Author: Ismail Negabi; Samir El Adib; Naoufal Raissouni
ISBN: 9786207474820

portada Enhancing Cryptographic Systems Security Against Scas: Aes Algorithm & Deep Learning Technique (en Inglés)

Enhancing Cryptographic Systems Security Against Scas: Aes Algorithm & Deep Learning Technique (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Ismail Negabi; Samir El Adib; Naoufal Raissouni

Idioma

Inglés

N° páginas

204

Encuadernación

Tapa Blanda

ISBN13

9786207474820

Enhancing Cryptographic Systems Security Against Scas: Aes Algorithm & Deep Learning Technique (en Inglés)

Ismail Negabi; Samir El Adib; Naoufal Raissouni (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Enhancing Cryptographic Systems Security Against Scas: Aes Algorithm & Deep Learning Technique (en Inglés)"

Cryptography is essential for securing data from unauthorized access, yet Side-Channel Attacks (SCA) are becoming a more significant concern for cryptographic systems. Deep Learning-based Side-Channel Attacks (DL-SCA) exploit physical vulnerabilities like power consumption fluctuations to extract secret keys, presenting a formidable challenge compared to conventional methods. This book focuses on evaluating DL-SCA on Advanced Encryption Standard (AES), particularly in terms of power consumption, utilizing a Convolutional Neural Network (CNN) on a microcontroller to extract keys. Two novel countermeasures are introduced: a modified AES with DL-based key scheduling using CNN and integrating SubBytes and MixColumns into a T-box operation for improved defense. Experimental results demonstrate the effectiveness of these strategies, enhancing cryptographic security in today's interconnected digital environment. These developments create new avenues for protecting cryptographic systems from Power Analysis Attacks (PAA), contributing to ongoing efforts to safeguard sensitive data in an ever-changing digital landscape.