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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

How it works…

We begin by downloading the dataset, and then reading it into data frames (Steps 1 and 2) for convenient examination and manipulation. Moving on, we place the dataset into arrays in preparation for machine learning (Steps 3 and 4). The dataset consists of several thousand feature vectors for phishing URLs. There are 30 features, whose names and values are tabulated here:

Attributes

Values

Column name

Having an IP address

{ 1,0 }

has_ip

Having a long URL

{ 1,0,-1 }

long_url

Uses Shortening Service

{ 0,1 }

short_service

Having the '@' symbol

{ 0,1 }

has_at

Double slash redirecting

{ 0,1 }

double_slash_redirect

Having a prefix and suffix

{ -1,0,1 }

pref_suf

Having a subdomain ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content