Overview

Blockchain now enables secure monitoring of the processes without navigating access restrictions, paving the way for opportunities in distributed learning, encrypted training data, and enhanced computer vision processes. Authentication in blockchain involves using a private key to sign transactions, validated by public keys and protected through hashing in a distributed digital ledger system. In a blockchain network, global nodes record and validate transactions, eliminating a single point of failure and centralized authority. This decentralized and immutable nature holds promise for improving data integrity, security, and trust in IoT ecosystems, addressing vulnerabilities and ensuring the safe functioning of connected devices.

The blockchain ensures IoT security by monitoring sensor data, preventing duplicate or incorrect information. It facilitates data transmission between sensors without relying on third parties. Blockchain Secure Authentication (BSA) offers sophisticated, password less authentication, preventing credential attacks. Blockchain authentication, or Web3 authentication, enables user connection to specific networks, allowing connection of Web3 wallets to dapps with a secure blockchain-based authentication scheme. Smart contracts on a blockchain facilitate business between identifiable and anonymous participants, reducing costs and formalities without compromising legitimacy. Blockchains, with their multiple data security layers, are considered safe and secure for storing transaction logs and additional data. A distributed network of computers maintains a blockchain as a digital ledger, preventing DDoS attacks through DNS entries and ensuring data protection through encryption. Blockchain contributes to the development of industry-standard end-to-end encryption security protocols, maintaining private messages with a single API framework. Authentication methods, using challenges or technologies like usernames and passwords, contribute to the security of blockchain. Blockchain provides a uniform, interoperable, and tamper-proof infrastructure for managing digital identities securely, benefiting individuals, businesses, and IoT systems. In business, blockchain technology utilizes an immutable, shared ledger with restricted access, reducing costs, improving trust, security, transparency, and data traceability throughout the network. The Special Issue invites researchers to contribute original research and review papers exploring Computer Vision with Blockchain for Secure Authentication in Smart Environments.

Potential topics include but are not limited to the following:

• Safe mutual authentication mechanism for smart homes built on blockchain technology.
• Blockchain as an encryption and privacy solution for intelligent buildings.
• B5G advanced intelligence of drones across smart landscapes.
• An unusual chance for intelligent movement and surroundings.
• Blockchain and artificial intelligence technology to improve privacy and security in smart surroundings.
• Blockchain-based continuous authentication infrastructure for the internet of things.
• Blockchain and computer vision combined for environmentally friendly transportation.
• Mutual authentication in dispersed smart systems that is both robust and lightweight.
• Blockchain-based smart energy infrastructure for an intelligent city.
• Future smart environments will benefit from secure edge services.
• Prospects and difficulties from the field of computer science.
• Smart contracts for automated control systems in smart cities built on blockchain technology.

Schedule:

Submission Deadline (Full Paper):    10.07.2024  (exteded)
First Review Decision:                              20.08.2024
Last Date for Review Manuscripts:      21.10.2024
Final Manuscript:                                       25.11.2024
Publication [as per journal norms]

Guest Editors:

Name: Dr. Roseline Oluwaseun Ogundokun
Department: Department of Computer Science
Affiliation: Landmark University Omu Aran, Kwara State, Nigeria
Email: ogundokun.roseline@lmu.edu.ng, dr.roselineogundokun@gmail.com
Google Scholar: https://scholar.google.com/citations?user=-zGUzP8AAAAJ&hl=en

Name: Dr. Akinbowale Nathaniel Babatunde
Department: Department of Computer Science
Affiliation: Kwara State University, Malete, Kwara State, Nigeria
Email: akinbowale.babatunde@kwasu.edu.ng
Google Scholar: https://scholar.google.com/citations?user=-Y3cZeoAAAAJ&hl=en

Name: Dr. Micheal Olaolu Arowolo
Department: Department of Electrical Engineering and Computer Science (EECS)
Affiliation: Bond Life Sciences Centre University of Missouri, Columbia, USA
Email: moacvf@missouri.edu
Google Scholar: https://scholar.google.com/citations?user=hBNVvkMAAAAJ&hl=en