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Artificial Intelligence for Big Data

You're reading from  Artificial Intelligence for Big Data

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788472173
Pages 384 pages
Edition 1st Edition
Languages
Authors (2):
Anand Deshpande Anand Deshpande
Profile icon Anand Deshpande
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details
Toc

Table of Contents (19) Chapters close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Big Data and Artificial Intelligence Systems 2. Ontology for Big Data 3. Learning from Big Data 4. Neural Network for Big Data 5. Deep Big Data Analytics 6. Natural Language Processing 7. Fuzzy Systems 8. Genetic Programming 9. Swarm Intelligence 10. Reinforcement Learning 11. Cyber Security 12. Cognitive Computing 1. Other Books You May Enjoy Index

Cyber security attack types


"One of the main cyber-risks is to think they don’t exist. The other is to try to treat all potential risks. (Fix the basics, protect first what matters for your business and be ready to react properly to pertinent threats. Think data, but also business services integrity, awareness, customer experience, compliance, and reputation)."

– Stephane Nappo

As more and more systems and CIs are getting digitized, the number of security breaches is also growing. The attackers utilize novel techniques to exploit the vulnerabilities within the applications to get access to unauthorized information and administrative privileges. In this section, we will list some of the common attack types and generic resolutions to those. 

Phishing

This is one of the most common and successful (from an attacker's perspective) attacks on the applications. Most of the time, the attacker sends an email or some kind of familiar communication to the user to trick him/her into following the URL and...

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