Machine learning and security : protecting systems with data and algorithms / Clarence Chio and David Freeman.
Material type:
TextSebastopol, CA : O'Reilly Media, c2018Edition: First editionDescription: xv, 365 pages : illustrations ; 24 cmISBN: 9781491979907; 1491979909Subject(s): Machine learning | Computer security | Computer security | Machine learning | Datensicherung | Künstliche Intelligenz | Machine-learning | AlgoritmenDDC classification: 006.3/1 LOC classification: Q325.5 | .C48 2018Summary: 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 type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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APU Library Open Shelf | Book | Q325.5 .C48 2018 c.1 (Browse shelf (Opens below)) | 1 | Available | 00012799 |
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| Q325 .S63 2010 c.2 Self-organizing architectures : | Q325.5 .A93 2015 c.1 Efficient learning machines : | Q325.5 .B69 2015 c. 1 Machine learning in Python : | Q325.5 .C48 2018 c.1 Machine learning and security : protecting systems with data and algorithms / | Q325.5 .G46 2019 c.1 Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : | Q325.5 .G476 2023 c.1 Hands-on machine learning with Scikit-Learn, Keras, and Tensorflow : concepts, tools, and techniques to build intelligent systems / | Q325.5 .G66 2016 c.1 Deep learning / |
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 --
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