Guest Editors
Dr. Mukesh Soni, Jagran Lake City University, India
Dr. Satya Prakash Yadav, G.L Bajaj Institute of Technology and Management (GLBITM), India
Dr. Tien Anh Tran, Vietnam Maritime University, Vietnam.
Summary
The evolution of cutting-edge technology, such as IoT, blockchain, and big data, has introduced useful tools and apps into our daily lives. There has been a surge in interest in digital technologies such as virtual reality and smart homes, which pose significant challenges to conventional computer systems. Edge computing has been proposed as a new computational approach for bringing data processing and storage closer to the point of origin. It has spawned a new generation of low-latency, high-bandwidth technology and software in fields such as health care, Industry 4.0, smart transportation, and sustainable cities. Edge computing has been proposed as a new computational approach for bringing data processing and storage closer to the point of origin. It has spawned a new generation of low-latency, high-bandwidth technology and software in fields such as health care, Industry 4.0, smart transportation, and sustainable cities. Furthermore, due to the network environment's complexity and high device and user mobility, attackers can swiftly join the group in stealing information. As a result, implementing protection and privacy protocols is critical for edge computing systems to preserve transparency, stability, and health. This Special Issue invites papers focusing on new effective protocols, innovative and efficient algorithms, security schemes, architectures, techniques, and services based on IoT and Blockchain to improve data security and privacy in emerging technology where critical data or information is shared among various servers, devices, architectures, and users. We encourage original research as well as review papers.
Keywords
Potential topics include but are not limited to the following:
1. IoT-based agents and mobile communication systems, as well as vehicle ad-hoc networks
2. Authentication and authorisation of individuals, systems, and applications in agriculture using blockchain technology
3. Models and systems for IoT and blockchain-based enterprises with security and privacy needs, as well as management in business organisations
4. Cryptographic techniques and protocols in healthcare information exchange system for medical systems
5. Various security threats Machine learning-based models for healthcare systems provide protection
6. Creating enterprise management rules and infrastructures for security and privacy in IoT applications
7. Distributed, forward, and proactive policies and procedures
8. Based on IoT and blockchain, secure and secret protocols in electronic commerce, banking, and payment systems
9. Blockchain-based systems for making authorized and efficient e-services, e-voting, and e-government
10. Blockchain-based privacy in peer-to-peer computing in cloud-based systems and architectures
11. Database security and privacy strategies, administration, and processes
12. Application of wireless body area networks in an integrated environment in healthcare
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