 Название: AI and Machine Learning for Cybersecurity Management
Автор: Mark Osborne and Tom White
Издательство: Amazon Digital Services LLC
ASIN: B07GRDL3LR
Год: 2018
Страниц: 228
Язык: английский
Формат: epub
Размер: 10.1 MB
No extra maths required!! – but a keen sense of humour is mandatory. You don’t even have to be excessively keen, we keep it short.
This book shows how artificial intelligence (AI), Machine Learning (ML), and Big data analysis can be used in cybersecurity. Designed for Cybersecurity workers, InfoSec indentured slaves and governance management, you will not need a PHD in maths to read it.
This little book reviews this game-changing subject, covering the primary techniques and how they can be used; laid-out in relatively jargon-free English explanations augmented with basic coding snippets and security examples. We make every effort to point out where the various methods are commonly used and where security professionals are probably using them already.
The following techniques are covered, framed in a Cybersecurity context:
•Decision trees
•SVM
•Regression
•Gradient descent
•Neural Networks
•Cluster analysis
•Social Network analysis
•Monte Carlo method
•Ensemble collaboration systems
All this “good stuff” comes as a “AI/Cybersecurity Sandwich” – with the initial chapters providing an overview of AI & ML learning while the penultimate chapter covers the risks which come with using AI/Machine Learning.
The publication will provide every busy security manager a solid grounding in these basic calculations that are often portrayed as “black magic”, and perhaps even inspire the more energetic to investigate more.
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