Könyv Innovative Machine Learning Applications for Cryptography G. V. Mahesh Vijayalakshmi

Innovative Machine Learning Applications for Cryptography

Nyelv: Angol
Kötés: Puha kötésű
Kiadó: IGI Global
Elérhetőség: Beszállítói készleten
Küldés 10-18 napon belül
103 343 Ft
Data security is paramount in our modern world, and the symbiotic relationship between machine learn...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2024
oldal
320
EAN
9798369346877
Enbook ID
45235616
Kiadó
Súly
809
Méretek
216 x 280 x 17

Teljes leírás

Data security is paramount in our modern world, and the symbiotic relationship between machine learning and cryptography has recently taken center stage. The vulnerability of traditional cryptosystems to human error and evolving cyber threats is a pressing concern. The stakes are higher than ever, and the need for innovative solutions to safeguard sensitive information is undeniable. Innovative Machine Learning Applications for Cryptography emerges as a steadfast resource in this landscape of uncertainty. Machine learning's prowess in scrutinizing data trends, identifying vulnerabilities, and constructing adaptive analytical models offers a compelling solution. The book explores how machine learning can automate the process of constructing analytical models, providing a continuous learning mechanism to protect against an ever-increasing influx of data. This book goes beyond theoretical exploration, and provides a comprehensive resource designed to empower academic scholars, specialists, and students in the fields of cryptography, machine learning, and network security. Its broad scope encompasses encryption, algorithms, security, and more unconventional topics like Quantum Cryptography, Biological Cryptography, and Neural Cryptography. By examining data patterns and identifying vulnerabilities, it equips its readers with actionable insights and strategies that can protect organizations from the dire consequences of security breaches.

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