Kniha Machine Learning and Cryptographic Solutions for Data Protection and Network Security J. Anitha Ruth

Machine Learning and Cryptographic Solutions for Data Protection and Network Security

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: IGI Global
Dostupnost: Skladem u dodavatele
Odesíláme za 10-18 dnů
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In the relentless battle against escalating cyber threats, data security faces a critical challenge...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2024
Stránek
564
EAN
9798369349939
Enbook ID
46130836
Vydavatel
Hmotnost
1400
Rozměry
216 x 280 x 30

Kompletní popis

In the relentless battle against escalating cyber threats, data security faces a critical challenge - the need for innovative solutions to fortify encryption and decryption processes. The increasing frequency and complexity of cyber-attacks demand a dynamic approach, and this is where the intersection of cryptography and machine learning emerges as a powerful ally. As hackers become more adept at exploiting vulnerabilities, the book stands as a beacon of insight, addressing the urgent need to leverage machine learning techniques in cryptography. Machine Learning and Cryptographic Solutions for Data Protection and Network Security unveil the intricate relationship between data security and machine learning and provide a roadmap for implementing these cutting-edge techniques in the field. The book equips specialists, academics, and students in cryptography, machine learning, and network security with the tools to enhance encryption and decryption procedures by offering theoretical frameworks and the latest empirical research findings. Its pages unfold a narrative of collaboration and cross-pollination of ideas, showcasing how machine learning can be harnessed to sift through vast datasets, identify network weak points, and predict future cyber threats.

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