Advances in Applications of Computational Intelligence and the Internet of Things: Cryptography and Network Security in IoT

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This new volume illustrates the diverse applications of IoT. The volume addresses the crucial issue of data safekeeping along with the development of a new cryptographic and security technology as well as a range of other advances in IoT. The volume looks at the application of IoT in medical technology and healthcare, including the design of IoT-based mobile healthcare units and a blockchain technique based smart health record system. Other topics include a blended IoT-enabled learning approach through a study employing clustering techniques, an IoT-enabled garbage disposal system with an advanced message notification system through an android application, IoT-based self-healing concrete that uses bacteria and environmental waste, an IoT-enabled trash-the-ash application that regulates flow, and more. The fresh and innovative advances that demonstrate computational intelligence and IoT in practice that are discussed in this volume will be informative for academicians, scholars, scientists, industry professionals, policymakers, government and non-government organizations, and others.

Author(s): Rajdeep Chowdhury, S. K. Niranjan
Publisher: CRC Press/Apple Academic Press
Year: 2022

Language: English
Pages: 177
City: Palm Bay

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Contributors
Abbreviations
Preface
1. A New Cryptographic Modus Operandi Approach Based on Amalgamation of Physics and Chemistry
2. Application of Cryptography and Network Security in the Internet of Things (IoT)
3. Applications of IoT in Medical Technology and Healthcare
4. Design of an IoT-Based Mobile Healthcare Unit Using a Self-Regulated React.js Database and Arduino
5. Blockchain Technique-Based Smart Health Record System
6. Security Issues and Challenges in the Internet of Things (IoT)
7. Demand of Internet Services in Infrastructure-as-a-Service (IaaS) to IoT-Cloud Application Move
8. Blended IoT-Enabled Learning Approach to Raise the Gross Enrollment Ratio (GER) of Female Pupils: A Study Using Clustering Technique
9. IoT-Enabled Garbage Disposal System with Advanced Message Notification System through Android Application
10. IoT-Based Self-Healing Concrete (SHC): Using Bacteria and Environmental Waste
11. IoT-Enabled Trash the Ash (TRAS): Maneuver of Salt (NaCl)
Index