Virtual Voice Sample
  • Artificial Intelligence for Intrusion Detection Systems: Techniques and Applications

  • By: Koffka Khan
  • Narrated by: Virtual Voice
  • Length: 6 hrs and 18 mins

Prime logo Prime members: New to Audible?
Get 2 free audiobooks during trial.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.
Artificial Intelligence for Intrusion Detection Systems: Techniques and Applications  By  cover art

Artificial Intelligence for Intrusion Detection Systems: Techniques and Applications

By: Koffka Khan
Narrated by: Virtual Voice
Try for $0.00

$14.95/month after 30 days. Cancel anytime.

Buy for $3.99

Buy for $3.99

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.
Background images

This title uses virtual voice narration

Virtual voice is computer-generated narration for audiobooks
activate_primeday_promo_in_buybox_DT

Publisher's summary

Welcome to "Artificial Intelligence for Intrusion Detection Systems: Techniques and Applications". In today's interconnected world, where cybersecurity threats continue to evolve rapidly, the role of Intrusion Detection Systems (IDS) has become more crucial than ever. Traditional methods often struggle to keep pace with the sophistication of modern cyber threats, prompting the integration of artificial intelligence (AI) to enhance detection capabilities.
This textbook explores the intersection of AI and IDS, offering a comprehensive overview of the techniques and applications driving advancements in cybersecurity. From fundamental concepts of artificial intelligence and machine learning to specialized deep learning techniques, this book delves into how these technologies can be effectively applied to detect and mitigate intrusions across various environments.
Each chapter is meticulously crafted to provide a deep dive into different facets of AI-driven IDS, including network-based, host-based, and hybrid IDS architectures. It covers the critical aspects of data preparation, feature engineering, and the evaluation metrics essential for assessing IDS performance. Real-world case studies in sectors such as finance, healthcare, and government offer practical insights into the application of AI-IDS in diverse organizational settings.
Moreover, this textbook addresses emerging challenges such as adversarial machine learning, scalability issues in real-time processing, and ethical considerations in AI-driven cybersecurity. It also outlines future trends and research directions, ensuring readers are equipped with the knowledge to anticipate and tackle upcoming cybersecurity challenges.
Whether you are a cybersecurity professional, researcher, or student, "Artificial Intelligence for Intrusion Detection Systems: Techniques and Applications" aims to serve as a valuable resource in understanding and implementing AI-powered solutions to safeguard digital infrastructures. We hope this book inspires innovative approaches and contributes to the ongoing evolution of cybersecurity practices worldwide.


Sincerely,
Koffka Khan.

What listeners say about Artificial Intelligence for Intrusion Detection Systems: Techniques and Applications

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.