ENGLISH

Hands-On Machine Learning for Cybersecurity: Safeguard your system by making your machines intelligent using the Python ecosystem

By Sinan Ozdemir , Soma Halder

Book information

Publisher
Packt Publishing
Year
2018
ISBN
9781788990967, 178899096X
Language
english
Format
PDF
Filesize
11 MB (11149933 bytes)
Pages
vii+293\306
Topic
Computers Security
Time added
2019-10-18 17:27:37
CyberSecurityMachine LearningPython

Description

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. Basics of Machine Learning in Cyber Security Time series analysis and Ensemble modeling 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

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