Machine Learning Techniques for Cybersecurity

Language: English

Published by Springer, Springer Apr 2023, 2023

3031282582 / 9783031282584

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This item is printed on demand - Print on Demand Titel. Neuware -This book explores machine learning (ML) defenses against the many cyberattacks that make our workplaces, schools, private residences, and critical infrastructures vulnerable as a consequence of the dramatic increase in botnets, data ransom, system and network denials of service, sabotage, and data theft attacks. The use of ML techniques for security tasks has been steadily increasing in research and also in practice over the last 10 years. Covering efforts to devise more effective defenses, the book explores security solutions that leverage machine learning (ML) techniques that have recently grown in feasibility thanks to significant advances in ML combined with big data collection and analysis capabilities. Since the use of ML entails understanding which techniques can be best used for specific tasks to ensure comprehensive security, the book provides an overview of the current state of the art of ML techniques for security and a detailed taxonomy of security tasks and corresponding ML techniques that can be used for each task. It also covers challenges for the use of ML for security tasks and outlines research directions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 180 pp. Englisch.…

Seller Inventory # 9783031282584

Title
Machine Learning Techniques for Cybersecurity
Author
Elisa Bertino
Publisher
Springer, Springer Apr 2023
Publication year
2023
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031282582
ISBN 13
9783031282584
Item weight
489 grams
Dimensions
246x173x16 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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