Machine Learning and Blockchain for Cognitive Internet of Things

Brief description/Scope:

Cognitive Internet of Things (CIoT) is an emerging field where in IoT systems are made more intelligent and smarter using cognitive computing. The intuitive ability of IoT combined with cognitive power of Machine learning and security of blockchain is capable of building transformative techniques. CIoT with machine learning and blockchain presents enormous opportunities for building intelligent and smart applications. Machine learning enables cognitive computing to develop a “thinking” system. It allows the system to learn and analyze the new data as it comes. The blockchain technology provides more security to the data and disables any kind of breaches. The enormous data generated by connected devices essentially needs cognitive power to build intelligent systems. On the other hand, the security of this data is of utmost importance for various applications.

In the coming decade it is estimated that more than 30 billion IoT devices will be generating data. Thus, there is an emerging requirement of development of technologies that can process, store and secure this data. The use of cognitive computing, Machine learning and blockchain will enable us to handle this data effectively. This special issue aims to publish high quality research papers that focus on the power of machine learning and blockchain for cognitive IoT. These technologies can be used together for automation, resource optimizations, sustainable systems and better security of data.

Topics of interest include, but are not limited to:

• Innovative architecture, infrastructure, techniques for CIoT
• Intelligent models and applications for CIoT
• Intelligent systems for information fusion in CIoT
• Architectures and platforms for blockchain and IoT
• IoT and blockchain convergence
• IoT malicious transactions detection
• Blockchain schemes for decentralization in IoT
• Machine learning algorithms for IoT
• Machine Learning for decision support systems in IoT
• Cognitive aspects of Machine learning
• Knowledge-based techniques for IoT
• Optimization methods for IoT
• Automated reasoning in IoT
• Big data analytics to identify malicious behaviours on blockchain for IoT
• Intelligent blockchain driven IoT applications
• AI-enabled scalable Blockchain for IoT
• IoT data encryption and security

Submission Instruction

The submission system will be open around one week before the first paper comes in. When submitting your manuscript please select the article type “VSI: CognitiveIoT”. Please submit your manuscript before the submission deadline.

All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles.

Please see an example here: https://www.sciencedirect.com/journal/science-of-the-total-environment/special-issue/10SWS2W7VVV

Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and the link to submit your manuscript is available on the Journal’s homepage.

Important Dates/Tentative schedule

Submission deadline: March 15, 2021

Final Manuscript due: August 15, 2021

Tentative publication date: October 30, 2021

Guest Editors

Dr. Krishna Kant Singh

KIET Group of Institutions, Ghaziabad, India

[email protected]

official Webpage: https://www.kiet.edu/home/department_wise_faculty_detail/MQ==/NDQx

official Email: [email protected]

Prof. Eugenio Villar

University of Cantabria, Santander, Spain

Email: [email protected]

Dr Xiaochun Cheng,

Middlesex University, London, UK

Email: [email protected]

Official Webpage: https://www.mdx.ac.uk/about-us/our-people/staff-directory/profile/cheng-xiaochun

Official Email: [email protected]

Dr. Ivan Izonin

Lviv Polytechnic National University, Ukraine

Ukraine

Official Webpage: http://wiki.lp.edu.ua/wiki/Ізонін_Іван_Вікторович

Official Email: [email protected]