Advances in IoT and security with computational intelligence : proceedings of ICAISA 2023. Volume 1 / Anurag Mishra, Deepak Gupta, Girija Chetty, editors.
2023
TK5105.8857
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Title
Advances in IoT and security with computational intelligence : proceedings of ICAISA 2023. Volume 1 / Anurag Mishra, Deepak Gupta, Girija Chetty, editors.
Meeting Name
International Conference on Advances in IoT and Security with AI (2023 : New Delhi, India).
ISBN
9789819950850 (electronic bk.)
9819950856 (electronic bk.)
9789819950843
9819950856 (electronic bk.)
9789819950843
Published
Singapore : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xviii, 404 pages) : illustrations (chiefly color).
Other Standard Identifiers
10.1007/978-981-99-5085-0 doi
Call Number
TK5105.8857
Dewey Decimal Classification
004.67/8
Summary
The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India, in collaboration with University of Canberra, Canberra, Australia, and NIT, Arunachal Pradesh, Itanagar, AP, India, during March 2425, 2023. The book includes various applications and technologies in this specialized sector of Industry 4.0. The book is divided into two volumes. It focuses on recent advances in Internet of Things and security with its applications using artificial intelligence.
Note
Selected conference proceedings.
Includes author index.
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 27, 2023).
Series
Lecture notes in networks and systems ; v. 755.
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Table of Contents
An Automatic Decision Support System for Assessing SDG Contributions
Removing Stegomalware from Digital Image Files
Entropic Analysis of Reservation Policy of Government of India
Cybersecurity in the Supply Chain and Logistics Industry: A Concept-Centric Review
Machine Learning Methodology for the Recognition of Unsolicited Mail Communications
IoT-Based Automated Hydroponic Cultivation System: A Step Toward Smart Agriculture for Sustainable Environment.
Removing Stegomalware from Digital Image Files
Entropic Analysis of Reservation Policy of Government of India
Cybersecurity in the Supply Chain and Logistics Industry: A Concept-Centric Review
Machine Learning Methodology for the Recognition of Unsolicited Mail Communications
IoT-Based Automated Hydroponic Cultivation System: A Step Toward Smart Agriculture for Sustainable Environment.