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portada Enhancing Cryptographic Systems Security Against Scas: Aes Algorithm & Deep Learning Technique
Type
Physical Book
Language
English
Pages
204
Format
Paperback
ISBN13
9786207474820

Enhancing Cryptographic Systems Security Against Scas: Aes Algorithm & Deep Learning Technique

Ismail Negabi; Samir El Adib; Naoufal Raissouni (Author) · Lap Lambert Academic Publishing · Paperback

Enhancing Cryptographic Systems Security Against Scas: Aes Algorithm & Deep Learning Technique - Ismail Negabi; Samir El Adib; Naoufal Raissouni

New Book Imported to Taiwan
Delivery: 12 Oct - 20 Oct Shipping: 14 to 15 business days.
NT$ 2,937
NT$ 2,937

Synopsis "Enhancing Cryptographic Systems Security Against Scas: Aes Algorithm & Deep Learning Technique"

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.

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The book is written in English.
The binding of this edition is Paperback.

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