Special Issues
Table of Content

Challenges and Innovations in Multimedia Encryption and Information Security

Submission Deadline: 31 August 2025 View: 690 Submit to Special Issue

Guest Editors

Dr. Jawad Ahmad, Edinburgh Napier University, UK
Dr. Muazzam A Khan, Quaid-i-Azam University, Pakistan
Dr. Wadii Boulila, Prince Sultan University, Saudi Arabia

Summary

Multimedia data are becoming increasingly important in today's digital world, driven by the wide range of computer applications and corresponding technologies. With the advent of 5th generation (5G) technology, digital images are frequently transmitted via open, insecure channels on the Internet. As a result, the security of digital image data is significantly compromised by recent advancements in computer-related technologies. Several state-of-the-art encryption techniques have been introduced to address these security issues. Unfortunately, many algorithms have been developed specifically for text encryption, rendering most traditional encryption schemes inappropriate for encrypting digital images. This is because text encryption techniques are not suitable for image data, due to several unique characteristics, including large volumes of data and a strong correlation between pixel values. In this context, we invite academics and industry to contribute original research articles and review articles that seek to discover innovative solutions for multimedia encryption and information security.


Keywords

Image Encryption; Information Security; Cybersecurity; Cryptography; Network Security; Internet of Things; Machine Learning for Cybersecurity

Published Papers


  • Open Access

    REVIEW

    Enhancing Deepfake Detection: Proactive Forensics Techniques Using Digital Watermarking

    Zhimao Lai, Saad Arif, Cong Feng, Guangjun Liao, Chuntao Wang
    CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2024.059370
    (This article belongs to the Special Issue: Challenges and Innovations in Multimedia Encryption and Information Security)
    Abstract With the rapid advancement of visual generative models such as Generative Adversarial Networks (GANs) and stable Diffusion, the creation of highly realistic Deepfake through automated forgery has significantly progressed. This paper examines the advancements in Deepfake detection and defense technologies, emphasizing the shift from passive detection methods to proactive digital watermarking techniques. Passive detection methods, which involve extracting features from images or videos to identify forgeries, encounter challenges such as poor performance against unknown manipulation techniques and susceptibility to counter-forensic tactics. In contrast, proactive digital watermarking techniques embed specific markers into images or videos, facilitating More >

Share Link