Hands-On Machine Learning for Cybersecurity
The book will allow readers to implement smart solutions to their existing cybersecurity products and effectively build intelligent solutions which cater to the needs of the future. By the end of this book, you will be able to build, apply, and evaluate machine learning algorithms to identify various cybersecurity potential threats.
Offered by
Difficulty Level
Intermediate
Completion Time
10h36m
Language
English
About Book
Who Is This Book For?
This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book
Hands-On Machine Learning for Cybersecurity
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h36m total length
Basics of Machine Learning in Cyber Security
Time series analysis and Ensemble modelling
Segregating legitimate and lousy URLs
Knocking down captchas
Using Data Science to catch email frauds and spams
Efficient Network Anomaly detection using K Means
Decision Tree and context based malicious event detection
Catching impersonators and hackers red handed
Change the game with Tensorflow
Financial frauds and how deep learning can mitigate them
Practical Case Studies in Cyber Security
Related Resources
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