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Real World AI in Cybersecurity, Paperback / softback Book

Real World AI in Cybersecurity Paperback / softback

Paperback / softback

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Real World AI in Cybersecurity provides hands on examples of using AI and machine learning to improve cybersecurity in systems of all sizes.

It includes step-by-step guidance for using AI applications in system administration and cybersecurity.

The more complex and frequent that cybersecurity attacks and data breaches become, the more cybersecurity experts will need to master tools including AI to help them spot the dangerous attacks and mitigate them. The reader will learn to:Overcome antivirus limits in threat detection, classify suspicious user activity, and use fraud detection algorithmsUse application performance monitoring (APM) tools and improve spam detection with advanced filtering techniquesPick the right Python libraries for AICategorize advanced persistent threats (APT), zero-days, and malware samplesUse python tools to turn logs into datasets for analysis, predict network intrusions, and spot fake logins and fake accountsApply algorithms from AI for cybersecurity including decision trees, Bayesian classification, least squares regression and moreUse Jupyter notebooks and the key tools including MLBase.jl, cikitLearn.jl, MachineLearning.jl and Mocha.jlTest data using AI to assess incident response

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