Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

CyberSecurity Summary

Data Analytics for Cybersecurity

25 Nov 2024

Description

The Book "Data Analytics for Cybersecurity" provides a comprehensive guide to understanding and applying data analytics methods for cybersecurity. It starts by defining cybersecurity and introducing its various aspects, including the role of data analytics. The book then explores different sources of cybersecurity data, including network traffic, system logs, and user behavior data. Data mining concepts such as clustering, classification, and association rule mining are then introduced, explaining how these techniques can be applied to discover patterns in cybersecurity data. Finally, the book explores advanced data analytics approaches for cybersecurity, including big data analytics, spatial and temporal data analysis, graph-based techniques, and advanced machine learning models like generative adversarial networks. Throughout the book, the authors emphasize the importance of a human-centered approach to cybersecurity, acknowledging the role of human behavior in both attack and defense.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Data-Analytics-Cybersecurity-Vandana-Janeja/dp/110841527X?&linkCode=ll1&tag=cvthunderx-20&linkId=c8532c598e87a603f2693e7551e0b46b&language=en_US&ref_=as_li_ss_tlDiscover our free courses in tech and cybersecurity, Start learning today:https://linktr.ee/cybercode_academy

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.