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Machine Learning and Security: Protecting Systems with Data and Algorithms - Tapa blanda

Chio, Clarence; Freeman, David

 
9781491979907: Machine Learning and Security: Protecting Systems with Data and Algorithms
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ISBN 10: 1491979909 ISBN 13: 9781491979907
Editorial: O'Reilly Media, 2018

Sinopsis

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 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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Acerca de los autores

Clarence Chio is an engineer and entrepreneur who has given talks, workshops, and training courses on machine learning and security at DEF CON and other security/software engineering conferences and meetups across more than a dozen countries. He was previously a member of the security research team at Shape Security, a community speaker with Intel, and a security consultant for Oracle. Clarence advises a handful of startups on security data science, and is the founder and organizer of the Data Mining for Cyber Security meetup group, the largest gathering of security data scientists in the San Francisco Bay area. He holds a BS and MS in computer science from Stanford University, specializing in data mining and artificial intelligence.

David Freeman is a research scientist/engineer at Facebook working on spam and abuse problems. He previously led anti-abuse engineering and data science teams at LinkedIn, where he built statistical models to detect fraud and abuse and worked with the larger machine learning community at LinkedIn to build scalable modeling and scoring infrastructure. He is an author, presenter, and organizer at international conferences on machine learning and security, such as NDSS, WWW, and AISec, and has published more than twenty academic papers on mathematical and statistical aspects of computer security. He holds a PhD in mathematics from UC Berkeley and did postdoctoral research in cryptography and security at CWI and Stanford University.

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Editorial
O'Reilly Media
Año de publicación
2018
Idioma
Inglés
ISBN 10 
1491979909
ISBN 13 
9781491979907
Encuadernación
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Número de páginas
383
Contacto del fabricante
O'Reilly
https://oreilly.com

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Otras ediciones populares con el mismo título

9789352136933: MACHINE LEARNING & SECURITY PROTECTING SYSTEMS WITH DATA [Paperback] [Jan 01, 2017] CHIO

Edición Destacada

ISBN 10:  9352136934 ISBN 13:  9789352136933
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