Artificial Intelligence and Deep Learning for Computer Network - Management and Analysis (Hardcover, 3rd Edition)

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

Deep Learning in traffic management: Deep traffic analysis of secure DNS

MINAL MOHARIR, NIKITHA SRIKANTH, NEEL BHANDARI AND RISHA DASSI

Machine Learning based Approach for Detecting Beacon Forgeries in Wi-Fi NetworksROHIT JAYSANKAR, VAMSHI SUNKU MOHAN, AND SRIRAM SANKARAN

Reinforcement learning-based approach towards switch migration for load balancing in SDN

ABHA KUMARI, SHUBHAM GUPTA, JOYDEEP CHANDRA, AND ASHOK SINGH SAIRAM

Green Corridor over a Narrow Lane: Supporting High Priority Message Delivery through NB-IoT

RAJA KARMAKAR, SAMIRAN CHATTOPADHYAY, AND SANDIP CHAKRABORTY

Vulnerabilities Detection in Cyber Security using Deep Learning based Information Security and Event Management

KOTHANDARAMAN D, S SHIVA PRASAD, AND P SIVASANKAR

Detection and Localization of Double Compressed Forged Regions in JPEG Images using DCT Coefficients and Deep Learning based CNN

JAMIMAMUL BAKAS, AND RUCHIRA NASKAR

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General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Chapman & Hall/Distributed Computing and Intelligent Data Analytics
Release date:	April 2023
First published:	2023
Authors:	Rajat Subhra Chakraborty • Sudeshna Chakraborty • Jimson Mathew • Arka Prokash Mazumdar • Sangita Roy
Editors:	Sangita Roy • Rajat Subhra Chakraborty • Jimson Mathew • Arka Prokash Mazumdar • Sudeshna Chakraborty
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	136
Edition:	3rd Edition
ISBN-13:	978-1-03-207959-2
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Computing & IT > General theory of computing > General Books > Computing & IT > Computer certification > General Books > Computing & IT > Computer communications & networking > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	1-03-207959-2
Barcode:	9781032079592

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