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Machine Learning and Security: Protecting Systems with Data and Algorithms

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Description: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.Learn how machine learning has contributed to the success of modern spam filtersQuickly detect anomalies, including breaches, fraud, and impending system failureConduct malware analysis by extracting useful information from computer binariesUncover attackers within the network by finding patterns inside datasetsExamine how attackers exploit consumer-facing websites and app functionalityTranslate your machine learning algorithms from the lab to productionUnderstand the threat attackers pose to machine learning solutionsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Machine Learning and Security: Protecting Systems with Data and Algorithms. To get started finding Machine Learning and Security: Protecting Systems with Data and Algorithms, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 386

Format: PDF, EPUB & Kindle Edition

Publisher: O'Reilly Media

Release: 2018

ISBN: 1491979852

Description: 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.Learn how machine learning has contributed to the success of modern spam filtersQuickly detect anomalies, including breaches, fraud, and impending system failureConduct malware analysis by extracting useful information from computer binariesUncover attackers within the network by finding patterns inside datasetsExamine how attackers exploit consumer-facing websites and app functionalityTranslate your machine learning algorithms from the lab to productionUnderstand the threat attackers pose to machine learning solutionsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Machine Learning and Security: Protecting Systems with Data and Algorithms. To get started finding Machine Learning and Security: Protecting Systems with Data and Algorithms, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Machine Learning and Security: Protecting Systems with Data and Algorithms

Machine Learning and Security: Protecting Systems with Data and Algorithms

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