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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 to do it...

In the following steps, we'll process a CAPTCHA dataset to make it amenable to training a machine learning model:

  1. Collect a large corpus of CAPTCHAs.
  2. Our next goal is to process the CAPTCHAs, specify where the CAPTCHA images are stored and then enumerate all CAPTCHAs in the specified folder:
import oscaptcha_images_folder = "captcha_images"captchas = [    os.path.join(captcha_images_folder, f) for f in os.listdir(captcha_images_folder)]
  1.  Define a function that will take the image of a CAPTCHA and produce a grayscale version, as well as a thresholded (that is, black and white) version of the CAPTCHA's image:
import cv2def preprocess_CAPTCHA(img):    """Takes a CAPTCHA image and thresholds it.""" gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) ...
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Publisher Resources

ISBN: 9781789614671Supplemental Content