Call for Chapters: Innovations in Blockchain-Powered Intelligence and Cognitive Internet of Things (CIoT)

Editors

Adarsh Garg, GL Bajaj Institute of Management and Research, Greater Noida, India
Fadi Al-Turjman, Near East University, Turkey
Shahnawaz Khan, Bahrain Polytechnic, Bahrain

Call for Chapters

Proposals Submission Deadline: October 29, 2023
Full Chapters Due: June 30, 2024
Submission Date: June 30, 2024

Introduction

Cognitive Internet of Things (CIoT) has become an emerging network technology regime, representing the augmentation of IoT. CIoT, as a socio-physical network environment, works on substantial human intervention to provide human-like thinking ability to IoT systems. Though the computers still do not reason like humans, yet the use of cognitive computing techniques make the IoT systems to comprehend, acquire and reason the data coming from the IoT systems. As an amalgamation of IoT and machine learning (ML) together, CIoT is shaping the industrial sectors smarter by facilitating intelligent applications such as intelligent home application, automatic drone surveillance, smart traffic detection, smart fraud detection, automatic pothole detection, etc. The provisioning of decentralized blockchain technology, further, offers these smart applications, the ability to improve the performance of the given task with secure transactions. CIoT, no doubt, has the captivated potential to link the social and physical world. Besides the fascinated benefits of CIoT, this technology has concealed threats. The data, knowledge base and ML models make the core of CIoT, so any malicious data may corrupt the ML model(i.e. data poison attack), causing catastrophic impact on real time applications. But, data becomes more reliable and difficult to fiddle with if it is stored and processed in a blockchain network with hash-link technique. So blockchain based threat model with AI/ML enabled data analytics can differentiate between genuine and corrupted data and consequently can improve the accuracy of real time application to a substantial level leading to better decision-making. The title necessitates the research in the area of CIoT to optimize its security with blockchain based AI- enabled data analytics.

Objective

The main objective of the book is to develop AI-enabled cognitive IoT with data protected from malicious attacks by using block chain technology. Thus increasing the viability of more sustainable, scalable and secure CIoT solutions to various industry sectors. This book addresses various challenges, emerging issues, and problems in emerging CIoT based solutions for improving business processes.

Target Audience

The researchers and practitioners can explore niche in block chain enabled options for ML models by investigating IoT with cognitive interventions. The most recent topic of discussion among researchers and a new specialization under AI/ML, CIoT and Blockchain technologies in engineering and business schools with wide scope of inventions and innovations. The linked courses are included almost in all the universities, organizations worldwide having research groups on AI/ML Across globe, various courses at UG, PG level are introduced to meet the industry demand to make professionals in the field of AI/ML and Blockchain.

Recommended Topics

Chapter 1: Introduction to Cognitive IoT 1.1 The Importance of Cognitive IoT • Overview of the challenges CIoT applications • Significance of Cognitive computing Techniques 1.2 Fundamentals of IIoT and Cognitive computing Techniques • Overview of fundamental cognitive activities • Outline of enabling mechanisms of cognitive activities • Various performance evaluation metrics of cognitive activities • Understanding the architecture and components of CIoT systems • Analyzing CIoT in optimizing spectrum utilization Chapter 2: Overview of Blockchain 2.1 Introduction to Blockchain • Exploring the potential threats to real time applications • Advantages of using blockchain in IoT environments • Evolution of blockchain in CIoT environment 2.2 Blockchain technology and ML • Challenges of ML models in CIoT environments • Significance of blockchain technology on accuracy of ML models Chapter 3: AI/ML based Data analytics in CIoT 3.1 Overview of AL/ML based data analytics • Understanding AI/ML based data analytics in CIoT • Attacks related to AI/ML in networking environments • Architecture and use of Convolution Neural network in CIoT Chapter 4: Blockchain and AI/ML enabled Data analytics 4.1 Overview of blockchain based security framework • Outline of industrial informatics in CIoT environment • Understanding the blockchain based security framework for Data analytics • Leveraging AI/ML techniques in Data analytics for CIoT • Comparing CIoT network with blockchain and without blockchain Chapter 5 : Security in CIoT environment 4.1 Security consideration for CIoT • Evaluating security risks and challenges in CIoT • Techniques for protecting data from malicious attacks • Impact of blockchain technology on reliability of data • Analyzing Malicious data attacks on ML models in CIoT • Secure protocols and methods for ensuring the integrity of ML model updates Chapter 6: Performance Evaluation and Metrics 6.1 Evaluation Metrics for blockchain based AI/ML enabled Data analytics • Metrics for assessing performance of CIoT systems • Performance indicators of precision and accuracy of CIoT systems 6.2 Experimental Evaluation of blockchain based AI/ML enabled Data analytics • Designing experiments to evaluate the performance of blockchain based AI/ML enabled Data analytics in CIoT • Comparative analysis with AI/ML enabled Data analytics without using blockchain • Benchmarking the performance of blockchain based AI/ML enabled Data analytics Chapter 7: Case Studies and Applications 7.1 Cognitive IoT Applications using blockchain based AI/ML enabled Data analytics • Case studies of Cognitive IoT Applications using blockchain based AI/ML enabled Data analytics • Real-world examples showcasing the benefits and outcomes of Cognitive IoT Applications using blockchain based AI/ML enabled Data analytics 7.2 Industry-Specific Applications and Implementations • Exploring Cognitive IoT Applications using blockchain based AI/ML enabled Data analytics in specific industries • Healthcare, smart homes, smart agriculture, smart automotive and other relevant sectors Chapter 8: Future Trends and Challenges 8.1 Emerging Trends in Cognitive IoT Applications • Exploring the future directions and developments in the field • Possible advances and innovations for optimizing the performance of CIoT applications 8.2 Challenges and Open Research Areas • Identifying current challenges and unanswered questions in CIoT environment • Finding Research gaps and breaks for further study

Submission Procedure

Researchers and practitioners are invited to submit on or before October 29, 2023, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by November 12, 2023 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by June 30, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Innovations in Blockchain-Powered Intelligence and Cognitive Internet of Things (CIoT). All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2024.



Important Dates

October 29, 2023: Proposal Submission Deadline
November 12, 2023: Notification of Acceptance
June 30, 2024: Full Chapter Submission
July 15, 2024: Review Results Returned
July 30, 2024: Final Acceptance Notification
July 30, 2024: Final Chapter Submission



Inquiries

Adarsh Garg
GL Bajaj Institute of Management and Research
adarsh.garg@glbimr.org
adarsh.15@hotmail.com

Fadi Al-Turjman
Near East University
fadi.alturjman@neu.edu.tr

Shahnawaz Khan
Bahrain Polytechnic
shahnawaz.khan@polytechnic.bh
shahnawaz.rs.cse@itbhu.ac.in



Classifications


Business and Management; Computer Science and Information Technology; Education; Medicine and Healthcare; Security and Forensics; Social Sciences and Humanities; Physical Sciences and Engineering
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