Call for Chapters: Redefining Security With Cyber AI

Editors

Marwan Omar, Illinois Institute of Technology, United States
Hewa Zangana, Duhok Polytechnic University, Iraq

Call for Chapters

Proposals Submission Deadline: May 26, 2024
Full Chapters Due: July 28, 2024
Submission Date: July 28, 2024

Introduction

In the fast-evolving digital landscape, the importance of cybersecurity has never been more critical. "Cyber AI: Redefining Security in the Digital Age" delves into the profound transformation of security paradigms brought about by the advent of artificial intelligence. This book is designed to explore the intricate dance between the ever-expanding frontiers of digital technology and the AI-driven mechanisms that aim to safeguard them. Through a series of expert analyses, case studies, and practical guidelines, we examine how AI is not merely an enhancement to existing security strategies but a fundamental reshaping of the protective measures themselves. As threats become more sophisticated and pervasive, the traditional defenses that once guarded our data and systems are being outstripped at an alarming rate. It is within this context that AI emerges as a pivotal player, offering new methodologies to not only respond to security threats but to anticipate them, adapting to risks with unprecedented agility. The book is structured to cater both to professionals in the cybersecurity field and to those with a keen interest in understanding how AI is transforming industries. We begin with a comprehensive overview of the current cybersecurity landscape, setting the stage for a deeper exploration of AI’s role within it. Subsequent chapters delve into the specifics of AI-driven security solutions, from machine learning algorithms that detect and neutralize threats in real time, to predictive analytics that forecast security vulnerabilities. "Cyber AI: Redefining Security in the Digital Age" invites readers and authors on a thought-provoking journey into the heart of modern cybersecurity practices, underscored by a powerful new ally: artificial intelligence. As you turn the pages, you will gain insights into both the opportunities and challenges presented by AI in cybersecurity, providing you with the knowledge to navigate and lead in this new era of digital security.

Objective

"Cyber AI: Redefining Security in the Digital Age" aims to accomplish several key objectives that not only contribute to the existing body of knowledge but also push the boundaries of how we understand and implement AI in cybersecurity. Here are the main goals and contributions of the book: Bridging Theory and Practice: This book seeks to merge theoretical AI and machine learning principles with practical cybersecurity applications. By providing a clear understanding of both the technical underpinnings and real-world implementations of AI in security, it aims to bridge the gap that often exists between academic research and industry practices. This approach will help professionals apply theoretical knowledge in practical scenarios to enhance the effectiveness of cybersecurity measures. Advancing Knowledge on AI Capabilities: It introduces cutting-edge research and developments in AI that specifically target cybersecurity challenges. The book discusses various AI techniques such as deep learning, natural language processing, and reinforcement learning, showcasing their potential to transform security practices. By exploring these technologies in depth, the book contributes to a deeper understanding of how advanced AI tools can be leveraged to combat complex cyber threats. Forecasting Future Trends: Another significant contribution is its forward-looking analysis. The book not only addresses current applications of AI in cybersecurity but also speculates on future trends and challenges. It provides insights into how evolving AI technologies might shape the cybersecurity landscape in coming years, discussing potential ethical concerns, regulatory considerations, and technological advancements. Providing Practical Guidelines and Case Studies: By including case studies and guidelines, the book offers tangible insights into the deployment of AI in various cybersecurity contexts. These practical examples serve to illustrate successful strategies and common pitfalls, making the theoretical aspects of AI more accessible and applicable for readers. This practical insight is invaluable for professionals seeking to implement AI-driven solutions effectively. Fostering a Multidisciplinary Dialogue: The book encourages a multidisciplinary approach to cybersecurity, involving insights from fields such as data science, behavioral psychology, and information technology. This holistic view is essential for developing robust AI systems that are capable of anticipating and mitigating a wide range of cyber threats. The discussion fosters greater collaboration and knowledge exchange among professionals from diverse backgrounds. By achieving these objectives, "Cyber AI: Redefining Security in the Digital Age" intends to enhance the reader's understanding of modern cybersecurity challenges and the revolutionary role that AI can play in addressing them. It aims to be a pivotal resource for both current and future cybersecurity professionals, guiding them through a rapidly changing landscape with clarity and expert knowledge.

Target Audience

"Cyber AI: Redefining Security in the Digital Age" is designed to cater to a broad spectrum of readers who are interested in the intersection of artificial intelligence and cybersecurity. The primary target audience includes: Cybersecurity Professionals: This group forms the core readership, encompassing individuals involved in safeguarding information systems. Security analysts, cybersecurity managers, and consultants will find the book particularly useful for understanding how AI can be integrated into their work to improve threat detection, response, and prevention. AI and Machine Learning Researchers: Researchers and academicians specializing in artificial intelligence and machine learning will benefit from the detailed exploration of AI applications in cybersecurity. The book provides insights into the latest trends and challenges in the field, offering a rich source of information for further research and experimentation. IT Executives and Managers: Senior IT professionals, including CIOs, CTOs, and IT managers, who are responsible for overseeing the security infrastructure of their organizations, will find the strategic discussions around AI-driven security solutions invaluable. The book helps them understand the broader implications of adopting AI technologies and guides them in strategic decision-making. Policy Makers and Regulators: Those involved in crafting policies and regulations that govern cybersecurity and data protection will gain insights into the capabilities and ethical considerations of AI in security. Understanding these aspects is crucial for developing informed, effective policies that keep pace with technological advancements. Students and Educators: Students studying cybersecurity, computer science, or AI, as well as their educators, will find the book an excellent resource for academic purposes. It provides a comprehensive overview of both fundamental and advanced topics, making it suitable for classroom use and independent study. Technology Enthusiasts and Entrepreneurs: Individuals with a keen interest in technology, especially those looking to innovate or start new ventures in the tech space, will benefit from the cutting-edge discussions on AI and cybersecurity. The book can serve as a source of inspiration and a technical guide for developing new solutions. By targeting these diverse groups, "Cyber AI: Redefining Security in the Digital Age" aims to foster a deeper understanding of how AI technologies can be leveraged for more effective and proactive security measures. It seeks to inform, educate, and inspire a broad audience to take part in shaping the future of cybersecurity.

Recommended Topics

"Cyber AI: Redefining Security in the Digital Age" will encompass a range of essential topics to provide a comprehensive overview of the integration of AI in cybersecurity. Here are some of the recommended topics the book will cover: Introduction to Cybersecurity and AI: Basics of cybersecurity; an overview of AI technologies; how AI is currently used in cybersecurity. Machine Learning Models in Cybersecurity: Types of machine learning models; their applications in threat detection, anomaly detection, and behavior analysis. Deep Learning for Advanced Threat Detection: Exploring how deep learning can identify complex patterns and anomalies that traditional methods might miss. Natural Language Processing for Security: Use of NLP in cybersecurity, including for phishing detection and security automation. AI in Network Security: How AI helps in network traffic analysis, intrusion detection, and secure network architecture design. Predictive Analytics in Cyber Risk Assessment: Techniques for predicting vulnerabilities and potential attacks using AI-driven analytics. AI-Driven Security Tools and Platforms: Review of the leading AI security tools and platforms currently available and their impact on the industry. Ethical Considerations and AI Bias: Discussion of the ethical concerns surrounding AI in cybersecurity, including bias in AI algorithms and the implications of automated decision-making. Regulations and Compliance in AI Security: Overview of the legal landscape, including data protection laws and compliance issues related to the use of AI in cybersecurity. Future Trends and Challenges in AI and Cybersecurity: Speculation on future developments in AI technologies and the evolving landscape of cyber threats. Implementing AI in Cybersecurity: Practical guidelines for integrating AI technologies into existing cybersecurity infrastructures. Case Studies and Real-World Applications: Detailed analysis of successful and unsuccessful implementations of AI in cybersecurity across different industries. AI and Human Collaboration: Exploring the balance between automated systems and human oversight to optimize security strategies and prevent over-reliance on AI. Training AI for Cybersecurity: Methods and challenges in training AI models specifically for cybersecurity purposes, including data requirements and model tuning. Impact of Quantum Computing on AI and Cybersecurity: Examination of how the advent of quantum computing could revolutionize or challenge AI-driven security measures. These topics aim to cover a breadth of content that is both informative and practical, providing readers with a deep understanding of both the current state and future potential of AI in enhancing cybersecurity measures.

Submission Procedure

Researchers and practitioners are invited to submit on or before May 26, 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 June 9, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by July 28, 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, Redefining Security With Cyber AI. 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 2025.



Important Dates

May 26, 2024: Proposal Submission Deadline
June 9, 2024: Notification of Acceptance
July 28, 2024: Full Chapter Submission
September 1, 2024: Review Results Returned
September 29, 2024: Final Acceptance Notification
October 6, 2024: Final Chapter Submission



Inquiries

Dr. Marwan Omar
Illinois Institute of Technology
momar3@iit.edu
Prof. Hewa Majeed Zangana
Duhok Polytechnic University | DPU · DUHOK TECHNICAL INSTITUTE Master of Information Technology
hewa.zangana@dpu.edu.krd

Classifications


Computer Science and Information Technology; Library and Information Science; Security and Forensics; Science and Engineering
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