Real World AI in Cybersecurity

Real World AI in Cybersecurity
- ISBN 13:
9781119790174
- ISBN 10:
1119790174
- Edition: 1st
- Format: Paperback
- Copyright: 12/02/2021
- Publisher: Wiley
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Summary
The reader will learn to:
- Overcome antivirus limits in threat detection, classify suspicious user activity, and use fraud detection algorithms
- Use application performance monitoring (APM) tools and improve spam detection with advanced filtering techniques
- Pick the right Python libraries for AI
- Categorize advanced persistent threats (APT), zero-days, and malware samples
- Use python tools to turn logs into datasets for analysis, predict network intrusions, and spot fake logins and fake accounts
- Apply algorithms from AI for cybersecurity including decision trees, Bayesian classification, least squares regression and more
- Use Jupyter notebooks and the key tools including MLBase.jl, cikitLearn.jl, MachineLearning.jl and Mocha.jl
- Test data using AI to assess incident response