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Hands-On Machine Learning for Cybersecurity

Hands-On Machine Learning for Cybersecurity

By : Halder, Sinan Ozdemir
2.7 (6)
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Hands-On Machine Learning for Cybersecurity

Hands-On Machine Learning for Cybersecurity

2.7 (6)
By: 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)
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1
Basics of Machine Learning in Cybersecurity
5
Using Data Science to Catch Email Fraud and Spam

Using Windows event logs to detect network anomalies

We will use Windows event logs to detect lateral movement in the first pass of detecting network anomalies. We will use Windows Active Directory logs for the purpose of the experiment. Active Directory is a Microsoft product that provides a directory service for network domains. Active Directory services include a wide range of directory-based identity-related services.

Active Directory stores all sorts of authorization and authentication logs using lightweight directory access protocol (LDAP). Active Directory logs a host of processes such as log-on events. In other words, when someone logs on to a computer and lockout events, that is, when someone enters wrong passwords and is unable to login. The following diagram shows the Active Directory logs along with the different processes:

We will discuss each of these types so that...

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