Call for Chapters: Intersecting Privacy, Deep Learning, and Reinforcement Learning in Cybersecurity


Khaled Ahmed, Southern Illinois University, United States
Abdullah Aydeger, Southern Illinois University, United States
Aboul Ella Ali, Cairo University, Egypt

Call for Chapters

Proposals Submission Deadline: September 10, 2021
Full Chapters Due: October 24, 2021
Submission Date: October 24, 2021


A massive number of techniques have been proposed to ensure authenticity, integrity, and confidentiality of data towards secure applications, e.g., network intrusion detection, biometrics. Deep learning techniques are superior to the performance achieved by classical models-based and traditional machine learning approaches. This book aims to propose advanced deep learning security tools and investigate the strength, challenges of deep learning techniques for security-oriented applications.


This book provides a comprehensive reference for security, privacy, deep learning, and reinforcement learning by covering recent trends. It will be divided into sections, and with each section, extends the growing literature on the emerging technologies and innovations would be covered. Thus, it would not only serve as a reference for existing cybersecurity, privacy, and deep learning, but it would also provide future directions in these topics. This book aims to encourage more research in security, privacy, deep learning, and reinforcement learning and publish the best research being conducted today.

Target Audience

This book would serve a broad audience, including researchers, academicians, students, and working professionals in the field of utilities, manufacturing, health, environmental services, government, defense, and networking companies that cyber threats may have significant concerns.

Recommended Topics

• Deep Learning Solutions Against Recent Cyber Threats • Privacy preserving applications using deep learning models • Intrusion detection by Deep Learning • Cyber-Physical Surveillance systems based on deep learning • Cyberthreat intelligence and classification • Secure deep learning algorithms • Deep learning Cybersecurity novel applications • Cybersecurity and Machine Learning/Artificial Intelligence • Security for IoT-driven intelligence and incorporate deep learning models • Deep Leaning and Cybersecurity in connected and autonomous vehicles • Secure online inferencing • Reinforcement learning • Deep learning models for achieving safety

Submission Procedure

Researchers and practitioners are invited to submit on or before September 10, 2021, 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 September 12, 2021 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by October 24, 2021, and all interested authors must consult the guidelines for manuscript submissions at 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, Intersecting Privacy, Deep Learning, and Reinforcement Learning in Cybersecurity. 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.


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 This publication is anticipated to be released in 2022.

Important Dates

September 10, 2021: Proposal Submission Deadline
September 12, 2021: Notification of Acceptance
October 24, 2021: Full Chapter Submission
December 7, 2021: Review Results Returned
January 18, 2022: Final Acceptance Notification
February 1, 2022: Final Chapter Submission


Khaled Ahmed
Southern Illinois University

Abdullah Aydeger
Southern Illinois University

Aboul Ella Ali
Cairo University


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