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No Starch Press Malware Data Science: Attack Detection and Attribution

Purple

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Description

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 visualisation, and shows you how to apply these methods to malware detection and analysis.

Key Features

Malware Data Science: Attack Detection and Attribution

Product type: ABIS BOOK

Brand: No Starch Press

Product Specifications

Colour
Purple
Format
paperback
Domain
Amazon UK
Release Date
27 September 2018
Listed Since
03 December 2017

Barcode

No barcode data available

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