Internet of Things: Integration and Security Challenges

Internet of Things

Integration and Security Challenges
 
Edition number: 1
Publisher: CRC Press
Date of Publication:
 
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Short description:

Internet of Things (IoT) is expanding at a rapid rate and it is becoming increasingly important for professionals to understand what it is, how it works, and how to harness its power to improve business. Because of this it?s very important to make sure that security is integrated into all IoT systems.

Long description:

IoT is empowered by various technologies used to detect, gather, store, act, process, transmit, oversee, and examine information. The combination of emergent technologies for information processing and distributed security, such as Cloud computing, Artificial intelligence, and Blockchain, brings new challenges in addressing distributed security methods that form the foundation of improved and eventually entirely new products and services. As systems interact with each other, it is essential to have an agreed interoperability standard, which is safe and valid.



This book aims at providing an introduction by illustrating state-of-the-art security challenges and threats in IoT and the latest developments in IoT with Cloud, AI, and Blockchain security challenges. Various application case studies from domains such as science, engineering, and healthcare are introduced, along with their architecture and how they leverage various technologies Cloud, AI, and Blockchain.



This book provides a comprehensive guide to researchers and students to design IoT integrated AI, Cloud, and Blockchain projects and to have an overview of the next generation challenges that may arise in the coming years.

Table of Contents:
1. Introduction to IoT Security, IoT Architecture and Protocols. 2. Threats to IoT Devices and Security Challenges in IoT Integrations. 3. Secure Data Transmission in IoT Integrated System. 4. Cloud and IoT Integration. 5. Fog Computing and IoT Integrations. 6. Blockchain and IoT Integration. 7. AI and IoT integration. 8. Deep Learning for Cloud
-Based Internet of Things.
9. Identity Access Management Models in IoT. 10. Programming Language and Hardware Support for Implementing IoT Integration. 11. Domain Specific Applications of IoT and Security Challenges.