Malware Data Science: Attack Detection and Attribution

eBook Details:

  • Paperback: 272 pages
  • Publisher: WOW! eBook (September 25, 2018)
  • Language: English
  • ISBN-10: 1593278594
  • ISBN-13: 978-1593278595

eBook Description:

Malware Data Science: Attack Detection and Attribution

Security has become a “big data” problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you’ll need to know how to think like a data scientist.

In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis.

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2 Responses

  1. Hotchkiss says:

    Howdy bro! Please can you kindly add this course, thanks, you’ve not been adding packt video courses like before:

    https://www.packtpub.com/application-development/python-android-hacking-crash-course-trojan-perspective-video

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