Machine learning and security: protecting systems with data and algorithms

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you'll explore...

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Bibliographic Details
Main Authors: Chio, Clarence (Author), Freeman, David 1979- (Author)
Format: Electronic eBook
Language:English
Published: Sebastopol, CA O'Reilly Media 2018
Edition:First edition.
Subjects:
Links:https://learning.oreilly.com/library/view/-/9781491979891/?ar
Summary:Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you'll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike --
Item Description:Includes bibliographical references and index. - Online resource; title from title page (viewed March 12, 2018)
Physical Description:1 Online-Ressource (1 volume) illustrations
ISBN:1491979909
9781491979907