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Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future

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  • Дата: 30-01-2022, 17:53
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Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the FutureНазвание: Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future
Автор: Sudhir K. Sharma, Bharat Bhushan, Narayan C. Debnath
Издательство: Bentham Science Publishers
Год: 2022
Страниц: 294
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

This reference presents information about different facets of IoT and blockchain systems that have been recently proposed for practical situations. Chapters provide knowledge about how these technologies are applied in functions related to trust management, identity management, security threats, access control and privacy.

The Internet of Things (IoT) is an emerging technology that has enabled connection and communication between both virtual and physical objects, thereby improving our quality of life. The definition of IoT has evolved because of the convergence of numerous technologies such as embedded systems, commodity sensors, machine learning, and real-time analytics. IoT contributes towards the concept of connected vehicles, connected health, wearable technology, home automation, and appliances having remote monitoring capabilities. Even though these systems provide numerous advantages, the current centralized architecture brings forth numerous issues related to privacy, security, transparency, data integrity, and single point of failure. This, in turn, inhibits the future development of these IoT-based applications. Further, the radical digitization of industry coupled with the explosion of the Internet of Things (IoT) has set up a paradigm shift for industrial and manufacturing companies. Owing to these issues, it becomes necessary to integrate IoT with a distributed ledger technology. Blockchain technology, an immutable, shared, distributed ledger, is the most suitable choice for a variety of reasons. It stores the various transaction information in a peer-to-peer (P2P) network and promotes information sharing among the network users. Owing to the fault tolerance capabilities, decentralized architecture and cryptographic security benefits such as authentication, data integrity, pseudonymous identities, security analysts and researchers consider blockchain to resolve privacy and security issues of IoT. The use of hash functions, timestamps, and sophisticated cryptographic algorithms in blockchain technology enables a secure computing environment and provides a tamper-proof ledger that can safeguard against possible attacks.

Key Features:

- Introduces the reader to fundamental concepts of IoT and blockchain technology
- reports advances in the field of IoT, ubiquitous computing and blockchain computing
- includes the applications of different frameworks
- explains the role of blockchains in improving IT security
- provides examples of smart grids, data transmission models, digital business platforms, agronomics and big data solutions
- Includes references for further reading

Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future is a handy reference for information technology professionals and students who want updated information about applications of IoT and blockchains in secure operational and business processes.

List of Contributors
An Overview of Smart Grid in the Current Age
Dynamic Strategies of Machine Learning for Extenuation of Security Breaches in Wireless Sensor Networks
IoT- Fundamentals and Challenges
IoT Based Energy Conservation of A Smart Home
Blockchain: Concept and Emergence
Industrial Revolution: Blockchain as a Wave for Industry 4.0 and IIoT
Enhancement of Iot Security Solutions Using Blockchain Technology
Secured IoT Model for Sensitive Data Transmission Using Blockchain Technique
Transforming OTT Digital Platform Business Using Blockchain Technology
Blockchain-based Cultivating Ideas for Growth: A New Agronomics Perspective
Blockchain Solutions for Big Data Management
Blockchain Security Solutions for IoT and Big Data

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