Innovative Machine Learning Applications for Cryptography
Language: English
Published by IGI Global, 2024
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 405.71
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…
Seller Inventory # 9798369316429
- Title
- Innovative Machine Learning Applications for Cryptography
- Author
- P. Visalakshi
- Publisher
- IGI Global
- Publication year
- 2024
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 13
- 9798369316429
- Item weight
- 1,068 grams
- Dimensions
- 286x221x22 mm
"Synopsis" may belong to another edition of this title.
About the Author
R. Uma is working as Associate Professor in the Department of Computer Science and Engineering, Sri Sairam Engineering College, Chennai, India. with 23 years of teaching experience for undergraduate and post graduate students in Computer Science Department. She has a Doctorate degree in Computer Science and Engineering from Anna University Chennai, India. She also completed her Master Degree in Computer Science and Engineering from College of Engineering Guindy, Anna University, India and Bachelor Degree from university of Madras. She has published her papers over 14 International Journals. She is a member of CSI, IACSIT and life member of ISTE. Her current research interest includes Information Retrieval, Data Mining, Deep learning and Machine learning .
"About the title" may belong to another edition of this title.
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