Machine learning and security : protecting systems with data and algorithms
By: Chio, Clarence
Title By: Freeman, David
Material type: BookPublisher: Beijing, China : O'Reilly, c2018.Description: xv, 365 p. : ill. ; 24 cm.ISBN: 9781491979907Subject(s): Computer security | Machine learning | AlgoritmenDDC classification: 006.31 CH MA Online resources: Ebook LinkItem type | Home library | Call number | Status | Date due | Barcode | Item holds |
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eBook | University of Wollongong in Dubai eBook | 006.31 CH MA (Browse shelf) | Available | T0065586 |
, Shelving location: eBook Close shelf browser
005.8 SI HA Hands-on ethical hacking and network defense | 006.3 AR TI Artificial Intelligence with SAS : | 006.3 RU AR Artificial Intelligence : | 006.31 CH MA Machine learning and security : | 006.312 TA IN Introduction to data mining | 006.35 LA NA Natural language processing in action : | 006.66 AN IN Interactive computer graphics |
Includes bibliographical references and index.
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 --