Call for Chapters: Leveraging Futuristic Machine Learning and Next-Generational Security for e-Governance

Editors

Rajeev Kumar, Moradabad Institute of Technology, Moradabad, India
Abu Bakar Abdul Hamid, Infrastructure University Kuala Lumpur (IUKL), Malaysia, Malaysia
Dato' Dr. Noor Inayah Ya'akub, Infrastructure University Kuala Lumpur (IUKL), Malaysia, Malaysia
TADIWA NYAMASVISVA, Infrastructure University Kuala Lumpur (IUKL), Malaysia, Malaysia
Rajesh Kumar Tiwari, Infrastructure University Kuala Lumpur (IUKL), Malaysia, India

Call for Chapters

Proposals Submission Deadline: July 28, 2024
Full Chapters Due: November 10, 2024
Submission Date: November 10, 2024

Introduction

In an era marked by unprecedented environmental challenges and technological advancements, the imperative for sustainable development has never been more pressing. The convergence of Artificial Intelligence (AI), Blockchain, and e-Governance holds immense potential to revolutionize the way we approach sustainability, paving the way for a future where ecological balance and technological progress go hand in hand. Over the past ten years, technology is growing and governments have promoted security system with a somewhat advanced of digital and enrich environment life made knowable and manageable through data collection and analysis. Emerging technologies have become both crucibles and showrooms for the practical application of the artificial intelligence, Internet of Things, cloud computing, and the integration of big data into everyday life. Is digital world optimized, sustainable, digitally networked solutions using intelligence system, machine Learning & Cyber Security methods? This complex concoction of challenges requires new thinking of the synergistic utilization of intelligence system, machine learning, Deep Learning & Blockchain methods and data-driven decision making with automation infrastructure, autonomous transportation, connected buildings. Cyber security is major concerning about digital era and currently each and every person moving to work digital and Smartly of the future must aspire to accommodate increasing technology and their expectations of, modern living, integrated societies, knowledge-based workforce, factory automation, virtual-real social behaviours, among many others. Cyber informatics lies at this strategic intersection of multiple disciplines that can comprehensively realize a learning vision of smart technology. This book provides a global perspective on current and future trends concerning the integration of intelligent system with cyber security applications.

Objective

In recent years, machine learning has set higher expectations from artificial intelligence (AI) technology, particularly, deep learning has shown exemplary performance in the field of Image recognition, natural language processing, pattern matching, face recognition, and many more. Deep Learning (DL) models has several benefits like fast computation of complex problems, maximum application of unstructured data, reduced costs, and many more but it has some limitations also associated with like opaqueness, computationally intensive, etc. However, the applications based on DL models are used in day-to-day routine and they work on huge amount of data to achieve higher accuracy and if these models lead to inaccuracies because of malicious activities, then it would become cumbersome and thus to protect the data from the security breaches is a major concern. Deep learning (DL) models usually have sensitive information of the users and these models should not be vulnerable and expose to security and privacy. However, DL models are still susceptible to various security attacks perturbed by imperceptible noise which allow these models to forecast/ predict inaccurately with high degree of confidence. Therefore, it is important to look into the security aspects and related counter measure techniques of DL models. The book focuses on the recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-art methods, methodologies and implementation, attacks, and their countermeasures. The book also discusses the challenges that need to be addressed for implementing DL-based security mechanisms that should have the capability in collecting or distributing data across several applications. The proposed volume will provide the deeper insights on deep learning models and security mechanisms across several applications. This book will unveil different applications of Metaheuristic approaches (i.e., swarm intelligence, genetic algorithm) in collaboration with DL models for high degree of confidence.

Target Audience

The book intends to provide valuable insights on the best practices and success factors of digital era, cyber world, intelligence system, Independent Researchers, Research Scholars, Scientists, libraries, Industry experts, academics students, business associations, communication and marketing agencies, future entrepreneurs, and all potential audiences with a specific interest in these topics.

Recommended Topics

1. The Role of Artificial Intelligence in Sustainable Development 2. Harnessing Blockchain Technology for Sustainability 3. Exploring the Intersection of e-Governance and Sustainability 4. Challenges and Opportunities in GreenTech Implementation 5. Ethical Considerations in GreenTech Development 6. Future Trends and Predictions for GreenTech Nexus 7. Shaping a Sustainable Future with GreenTech Nexus 8. Intelligent Information Retrieval, Neural Networks and its applications for Smart City 9. The Role of Artificial Intelligence in Sustainable Development 10. Leveraging Blockchain Technology for Sustainability 11. Exploring the Intersection of e-Governance and Sustainability 12. Advanced and Innovative Applications of Eco-Intelligence 13. Challenges and Opportunities in Eco-Intelligent Development 14. Ethical Implications of Eco-Intelligence Implementation 15. Future Outlook: Anticipating Trends in Eco-Intelligent Futures 16. Shaping a Sustainable Tomorrow with Eco-Intelligent Futures 17. Deep Learning & Blockchain Application in Smart Agriculture and Farming 18. Machine Learning concept in Education and skill development, Cloud solutions for smart City 19. Advances in Ambient Intelligence Sensor Networks and Embedded System for Smart City 20. Human-Machine interaction for knowledge discovery and management

Submission Procedure

Researchers and practitioners are invited to submit on or before July 28, 2024, 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 August 11, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by November 10, 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-anonymized 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, Leveraging Futuristic Machine Learning and Next-Generational Security for e-Governance. All manuscripts are accepted based on a double-anonymized 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 2025.



Important Dates

July 28, 2024: Proposal Submission Deadline
August 11, 2024: Notification of Acceptance
November 10, 2024: Full Chapter Submission
January 12, 2025: Review Results Returned
February 23, 2025: Final Acceptance Notification
March 9, 2025: Final Chapter Submission



Inquiries

Rajeev Kumar Moradabad Institute of Technology, Moradabad rajeev2009mca@gmail.com Abu Bakar Abdul Hamid Infrastructure University Kuala Lumpur (IUKL), Malaysia Dato' Dr. Noor Inayah Ya'akub Infrastructure University Kuala Lumpur (IUKL), Malaysia TADIWA NYAMASVISVA Infrastructure University Kuala Lumpur (IUKL), Malaysia Rajesh Kumar Tiwari Infrastructure University Kuala Lumpur (IUKL), Malaysia rajeshkrtiwari@yahoo.com

Classifications


Business and Management; Computer Science and Information Technology; Education; Life Sciences; Library and Information Science; Medicine and Healthcare; Media and Communications; Security and Forensics; Government and Law; Social Sciences and Humanities; Physical Sciences and Engineering
Back to Call for Papers List