[AISWorld] SI on "Blockchain based Security and Trust Management for Smart Devices in Cloud-Fog Environment", Connection Science

[Editorial Manager]

* Apologies if multiple copies are received.  *


Special Issue on "Blockchain based Security and Trust Management for Smart Devices in Cloud-Fog Environment"
Connection Science, Taylor & Francis
(SCI/SCIE JCR Q2 "best quartile", EI, SCOPUS)
Web: https://www.shorturl.at/rGPV2

Blockchain is a decentralized technology that provides an immutable ledger for strong transactions. It is originally developed for digital currency but can be applied to other sectors due to its decentralized architecture. Blockchain provides security, trust, and privacy to smart devices in an untrusted environment like the cloud-fog computing environment. Cloud computing provides the services on rent so that the user can use the required service through a common shared platform. But as the number of digital devices increases latency and throughput limit the use of cloud computing services, then fog computing is introduced, which provides cloud-like services near the device. But both cloud and fog computing platforms handle the user's personal and private data, and blockchain is used to provide trust, immutability, and security to the cloud-fog environment.

This special issue aims at providing a platform for researchers and practitioners to exchange and publish the latest research trends and results, and so in the area related to advancements of blockchain paradigms and their applications in Cloud-Fog computing. The main objective of this issue is to encourage researchers to explore key concepts of blockchain algorithms that can be utilized in the efficient integration of cloud and fog environments.

The topics relevant to this special issue include but are not limited to:
Blockchain and AI for Fog computing
Blockchain assisted fog, edge, and cloud computing models for secure IoMT systems
Big data technology with blockchain
Federated learning in a distributed environment
Cybersecurity framework for cloud and fog computing using blockchain
Distributed deep learning models
Advance Big data analytic with blockchain frameworks for smart transport
Fuzzy logic and federated learning for cloud-fog computing
Trust-based models for advanced IoT devices using distributed frameworks

Manuscript deadline:  *31 December 2021*

Papers with technical contributions will be mainly considered, but survey papers may be considered only if of sufficient merit, and that strictly adhere to the theme of the special issue.


Special Issue Editor(s)
BRIJ B. GUPTA, National Institute of Technology Kurukshetra, India
gupta.brij at ieee.org<mailto:gupta.brij at ieee.org>

Gregorio Martinez Perez, University of Murcia (UMU), Spain
gregorio at um.es<mailto:gregorio at um.es>


For additional information, visit the webpage of this Special Issue or contact guest editor Dr. Brij Gupta, gupta.brij at ieee.org<mailto:gupta.brij at ieee.org>