Calls for Papers (special): International Journal of Digital Crime and Forensics (IJDCF)


Special Issue On: Deep learning for digital forensics and cybersecurity: Research Advances and Challenges

Submission Due Date
11/1/2021

Guest Editors
Dr. Ahmed A. Abd El-Latif, Associate Professor, Menoufia University, Egypt
Dr. Jialiang Peng, Associate Professor, Heilongjiang University, China
Dr. Mohamed Hammad Assistant professor at Faculty of Computers and Information, Menoufia University, Egypt
Dr. Xuehu Yan, Associate Professor, National University of Defense Technology, China

Introduction
With the rapid advances of recent digital/signal image processing technologies, it has become possible to perform tampering of digital media, easily. This breakthrough in tampering and intrusion process required new and efficient algorithms for multimedia tampering and forgery detection.

Deep Learning have come to play a vital role in dealing with a massive amount of raw data. The deep learning models such as deep belief network, deep autoencoder and convolutional neural network (CNN), have shown to be capable of extracting complex statistical features and efficiently learning their representations, allowing it to generalize well across a wide variety of machine tasks and image processing. Also, it is possible to explore the deep learning techniques for various real-time multimedia security applications, such as real-time information hiding and digital forensics in order to achieve desirable performances in the terms of both accuracy and efficiency.

Objective
The scope of this special issue encompasses the digital forensics and in general cybersecurity of emerging applications such Internet of things (IoT) , mobile systems and applications in cloud, including but not limited to operating systems of Android, iOS and Windows Mobile, smartphones, and applications.

Recommended Topics
• Deep learning for Image/Video Forensics
• Deep learning-based anti-forensics
• Deep learning for multimedia security
• Deep learning for cyber security applications (e.g., malicious web content identification, intrusion detection and privacy-preserving, vulnerability and exploitation Identification, and facial and/or biometric spoofing detection)
• Security challenges associated with deep learning

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Deep learning for digital forensics and cybersecurity: Research Advances and Challenges on or before 1 November 2021. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at https://www.igi-global.com/publish/contributor-resources/journal-guidelines-for-submission/?titleid=1112. All submitted papers will be reviewed on a double-blind, peer review basis.

All inquiries should be directed to the attention of:
Dr. Ahmed A. Abd El-Latif
Lead Guest Editor
International Journal of Digital Crime and Forensics (IJDCF)
E-mail:ahmedabdellatif@ieee.org