Research Anthology On Convergence Of Blockchain Internet Of Things And Security


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Research Anthology on Convergence of Blockchain, Internet of Things, and Security


Research Anthology on Convergence of Blockchain, Internet of Things, and Security

Author: Management Association, Information Resources

language: en

Publisher: IGI Global

Release Date: 2022-07-08


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The rise of technology has proven to be a threat to personal data, cyberspace protection, and organizational security. However, these technologies can be used to enhance the effectiveness of institutional security. Through the use of blockchain and the internet of things (IoT), organizations may combat cybercriminals and better protect their privacy. The Research Anthology on Convergence of Blockchain, Internet of Things, and Security describes the implementation of blockchain and IoT technologies to better protect personal and organizational data as well as enhance overall security. It also explains the tools, applications, and emerging innovations in security and the ways in which they are enhanced by blockchain and IoT. Covering topics such as electronic health records, intrusion detection, and software engineering, this major reference work is an essential resource for business leaders and executives, IT managers, computer scientists, hospital administrators, security professionals, law enforcement, students and faculty of higher education, librarians, researchers, and academicians.

Convergence of Blockchain, Internet of Everything, and Federated Learning for Security


Convergence of Blockchain, Internet of Everything, and Federated Learning for Security

Author: Ullah, Fasee

language: en

Publisher: IGI Global

Release Date: 2025-05-13


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The convergence of blockchain, the Internet of Everything (IoE), and federated learning paves the way for enhanced security in digital ecosystems. Blockchain offers decentralized, tamper-proof solutions that ensure data integrity, while the IoE connects smart devices, generating large amounts of data that require robust protection. Federated learning allows models to be trained locally on edge devices without transferring sensitive data to centralized servers, minimizing exposure to cyber threats. These technologies strengthen privacy and data security while enabling more efficient, scalable, and resilient systems. Further research into the potential of these technologies may redefine how security is managed, ensuring a safer environment for individuals and organizations. Convergence of Blockchain, Internet of Everything, and Federated Learning for Security explores the convergence of blockchain, IoEs, federated learning, and cybersecurity, highlighting their relevance in the modern digital landscape. It examines the importance of these technologies in addressing security challenges and enhancing data privacy in interconnected systems. This book covers topics such as cryptography, machine learning, and smart grids, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.

Blockchain-based Internet of Things


Blockchain-based Internet of Things

Author: Iraq Ahmad Reshi

language: en

Publisher: CRC Press

Release Date: 2024-02-08


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This book presents an overview of the blockchain-based Internet of Things systems, along with the opportunities, challenges, and solutions in diverse fields such as business, education, agriculture, and healthcare. It discusses scalability, security, layers, threats, and countermeasures in blockchain-based Internet of Things network. Elaborates on the opportunities presented by combining blockchain with artificial intelligence on the Internet of Things systems in the management of food systems, and drug supply chains Explains the management of computationally intensive tasks in blockchain-based Internet of Things through the development of lightweight protocols Presents various applications in fields including logistics and the supply chain, automobile industry, smart housing, shared economy, and agriculture Provides insights into blockchain-based Internet of Things systems, along with their features, vulnerabilities, and architectural flaws The text is primarily written for graduate students, and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology