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Machine Learning and Security

: Protecting Systems with Data and Algorithms

[ Paperback ] 바인딩 & 에디션 안내이동
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품목정보

품목정보
출간일 2018년 12월 14일
쪽수, 무게, 크기 386쪽 | 179*233*30mm
ISBN13 9789352136933
ISBN10 9352136934

책소개 책소개 보이기/감추기

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 and rsquo;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 filters
Quickly detect anomalies, including breaches, fraud and impending system failure
Conduct malware analysis by extracting useful information from computer binaries
Uncover attackers within the network by finding patterns inside datasets
Examine how attackers exploit consumer-facing websites and app functionality
Translate your machine learning algorithms from the lab to production
Understand the threat attackers pose to machine learning solutions
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