Special Issue on Machine Learning-Driven Big Data and Blockchain Techniques for Communication

The rapid development of storage technologies, in combination with factors such as the appearance of mobile networks, the Internet of Things, cloud computing and new technologies, has sparked a revolution in using big data and blockchain to address communication issues. However, as we know, some big data are unstructured and are accompanied by redundant characteristics. Handling them is complex and involves time, so solutions must be found to compress or remove the redundancies. At the same time, we need to find secure methods for data analytics in blockchain. Moreover, the application of big data and blockchain to communication problems, including network traffic monitoring, security and privacy, and data processing, remains poorly understood and investigated.

Some see machine learning algorithms as the solution to these issues, particularly neural networks, genetic algorithms, deep learning and transfer learning, etc.

This special issue focuses on the crossroads that scientists, industry practitioners and researchers working in the domains of machine learning, big data, and blockchain currently face. We are interested in papers that look at algorithms, frameworks and technologies for machine learning-driven big data and blockchain techniques in communication.

Topics Covered:

• Big data analysis frameworks for network traffic monitoring
• Big data analysis frameworks for smart energy, smart business and smart cities
• Big data analysis frameworks for intelligent transportation systems
• Big data analysis frameworks for the Internet of Things
• Machine learning techniques for big data systems
• Machine learning techniques for wireless sensor networks
• Machine learning techniques for social networks
• Machine learning techniques for blockchain security
• Blockchain-based lightweight data structures for the Internet of Things
• Blockchain for cloud/edge/fog computing
• Blockchain for cyber-physical systems
• Big data analytics with blockchain methodologies for a secure Internet of Things

Important Deadlines:

• Submissions deadline: 30 December 2021
• Acceptance deadline: 30 July 2022
• Publication Date: 2022

Submission Instructions:

Please read the Guide for Authors before submitting. All articles should be submitted online via the editorial management system. Please select the option “SI: MLBDBC”.

Guest Editors:

• Managing Guest Editor: Prof. Shahid Mumtaz, Instituto de Telecomunicaces, Portugal. Email: smumtaz@av.it.pt
• Prof. Gautam Srivastava, Brandon University, Canada. Email: srivastavag@brandonu.ca
• Prof. Wei Wei, Xi’an University of Technology, China. Email: weiwei@xaut.edu.cn