Convergence of deep learning in cyber-IoT systems and security / (Record no. 92750)

000 -LEADER
fixed length control field 19295cam a2200457Ii 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250913084204.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 250913t20232023njum ob u001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119857211
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119857679
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119857678
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119857686
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119857686
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 111985721X
Qualifying information hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781119857211
Qualifying information hardcover
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1349309450
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.73
Item number .C68 2023
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23/eng/20221115
245 00 - TITLE STATEMENT
Title Convergence of deep learning in cyber-IoT systems and security /
Statement of responsibility, etc edited by Rajdeep Chakraborty [and three others]
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, NJ :
Name of publisher, distributor, etc John Wiley & Sons, Inc.,
Date of publication, distribution, etc 2023.
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc ©2023.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xxi, 444 pages) :
Other physical details illustrations (some color)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent.
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia.
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier.
490 1# - SERIES STATEMENT
Series statement Artificial intelligence and soft computing for industrial transformation.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems. This book provides innovative solutions and implementation of deep learning-based models in cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II presents many innovative solutions, algorithms, models, and implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions.
545 0# - BIOGRAPHICAL OR HISTORICAL DATA
Biographical or historical note About the Author<br/>Rajdeep Chakraborty, PhD, is an assistant professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Kolkata, India. His fields of interest are mainly in cryptography and computer security. He was awarded the Adarsh Vidya Saraswati Rashtriya Puraskar, National Award of Excellence 2019 conferred by Glacier Journal Research Foundation,<br/><br/>Anupam Ghosh, PhD, is a professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Kolkata, India. He has published more than 80 international papers in reputed international journals and conferences. His fields of interest are mainly in AI, machine learning, deep learning, image processing, soft computing, bioinformatics, IoT, and data mining.<br/><br/>Jyotsna Kumar Mandal, PhD, has more than 30 years of industry and academic experience. His fields of interest are coding theory, data and network security, remote sensing & GIS-based applications, data compression error corrections, information security, watermarking, steganography and document authentication, image processing, visual cryptography, MANET, wireless and mobile computing/security, unify computing, chaos theory, and applications.<br/><br/>S. Balamurugan, PhD, is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Deep learning (Machine learning)
Authority record control number https://id.loc.gov/authorities/subjects/sh2021006947.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Internet of things.
Authority record control number https://id.loc.gov/authorities/subjects/sh2013000266.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chakraborty, Rajdeep,
Authority record control number https://id.loc.gov/authorities/names/n2022027150
Relator term editor.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Artificial intelligence and soft computing for industrial transformation.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781119857686
Link text Full text is available at Wiley Online Library Click here to view
942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Source of acquisition Full call number Date last seen Price effective from Item type
          COLLEGE LIBRARY COLLEGE LIBRARY 2025-09-13 ALBASA Consortium 006.31 C7695 2022 2025-09-13 2025-09-13 EBOOK