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Offered By: IBMSkillsNetwork

Combining Machine Learning and Rules for Cybersecurity

Do you want to be a cyber security expert and help safeguard digital networks and systems from malicious attacks? Then you'll love this project! By using a combination of machine learning algorithms and rule-based approaches, you will develop a powerful tool for detecting cyber attacks. You will analyze network data and identify correlations between different variables to pinpoint potential threats. Don't miss out on this exciting opportunity to learn how to analyze network data and identify the tell-tale signs of cyber attacks.

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Guided Project

Artificial Intelligence

1.78k+ Enrolled
4.6
(282 Reviews)

At a Glance

Do you want to be a cyber security expert and help safeguard digital networks and systems from malicious attacks? Then you'll love this project! By using a combination of machine learning algorithms and rule-based approaches, you will develop a powerful tool for detecting cyber attacks. You will analyze network data and identify correlations between different variables to pinpoint potential threats. Don't miss out on this exciting opportunity to learn how to analyze network data and identify the tell-tale signs of cyber attacks.

This project uses machine learning and rule-based approaches to improve cyber attack detection. 
By analyzing network data and identifying correlations between variables, it enhances the accuracy and efficiency of cyber attack detection, making digital networks and systems more secure. This project provides valuable insight into network data analysis and cyber attack identification, making it a valuable first step towards becoming a cyber security expert.

A Look at the Project Ahead

After completing this lab you will be able to::
  • Understand how cyber attacks occur and identify important indicators of attacks.
  • Implement a monitoring system for attack detection using both rule-based and machine-learning approaches.
  • Learn how to visualize variables in network data.
  • Gain experience in using machine learning algorithms such as Random Forest for classification and feature ranking.
  • Enhance your knowledge and skills in cybersecurity and introduce powerful tools to equipped to detect and prevent cyber-attacks.
  • introduce strong cloud security tool IBM QRadar

What You'll Need

Your enthusiasm, a browser, and a little background in python.

Estimated Effort

1.5 Hours

Level

Beginner

Industries

Information Technology

Skills You Will Learn

CyberSecurity, Data Analysis, Machine Learning, Python, Security

Language

English

Course Code

GPXX0Q8REN

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