Book Image

Hands-On Machine Learning for Cybersecurity

By : Soma Halder, Sinan Ozdemir
Book Image

Hands-On Machine Learning for Cybersecurity

By: Soma Halder, Sinan Ozdemir

Overview of this book

Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not. Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems
Table of Contents (13 chapters)
Free Chapter
Basics of Machine Learning in Cybersecurity
Using Data Science to Catch Email Fraud and Spam

Different types of impersonation fraud

According to a recent report, at least 75 percent of companies are the target of impersonation attempts each year. There are several variations of impersonation; the most popular ones are the following:

  • Executive impersonation: These are cases where the impersonator either takes over an executive account, such as a CEO or CFO of the company. The impersonator may also try to spook emails from the executive by putting minute variations in the email IDs, such as [email protected] being changed to [email protected]. The content of these emails will deal with sensitive issues needing immediate action, such as a wire transfer that needs to be mailed urgently. Employees usually ignore the falsification of the email ID and carry out the activity.
  • Vendor impersonation: This is another type of fraud, where the impersonator spooks email IDs of legitimate...