Basket (0)
Wishlist (0)
Your personal newsletter
__

Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis

Artificial Intelligence and Deep Learning for Computer Network

Management and Analysis
 
Edition number: 1
Publisher: Chapman and Hall
Date of Publication:
 
Normal price:
Publisher's listprice:
GBP 99.99
Estimated price in HUF:
48 295 HUF (45 995 HUF + 5% VAT)
Why estimated?
 
Your price:
43 465 (41 396 HUF + 5% VAT )
discount is: 10% (approx 4 830 HUF off)
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
 
Availability:
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Can't you provide more accurate information?
 
Add to basket
  Piece(s)

 
 
 
 
Product details:
ISBN13:9781032079592
ISBN10:1032079592
Binding:Hardback
No. of pages:136 pages
Size:234x156 mm
Weight:360 g
Language:English
Illustrations: 60 Illustrations, black & white; 46 Halftones, black & white; 14 Line drawings, black & white; 21 Tables, black & white
624
Category:
Short description:

This reference text aims to systematically collect quality research spanning AI, ML and Deep Learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes.

Long description:

Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis aims to systematically collect quality research spanning AI, ML, and deep learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes, otherwise a rarity in many such books.



Features:




  • A diverse collection of important and cutting-edge topics covered in a single volume.



  • Several chapters on cybersecurity, an extremely active research area.



  • Recent research results from leading researchers and some pointers to future advancements in methodology.



  • Detailed experimental results obtained from standard data sets.



This book serves as a valuable reference book for students, researchers, and practitioners who wish to study and get acquainted with the application of cutting-edge AI, ML, and DL techniques to network management and cyber security.


Table of Contents:

1. Deep Learning in traffic management: Deep traffic analysis of secure DNS. 2. Machine Learning based Approach for Detecting Beacon Forgeries in Wi-Fi Networks. 3. Reinforcement learning-based approach towards switch migration for load balancing in SDN. 4. Green Corridor over a Narrow Lane: Supporting High Priority Message Delivery through NB-IoT. 5. Vulnerabilities Detection in Cyber Security using Deep Learning based Information Security and Event Management. 6. Detection and Localization of Double Compressed Forged Regions in JPEG Images using DCT Coefficients and Deep Learning based CNN.?