Multimedia Generation Forensics

Topic Information

Dear Colleagues,

Today, generative multimedia has become an integral component of commercial content presentation, entertainment, and video production. Traditionally, multimedia creation relied primarily on high-quality digital imaging equipment such as smartphones and cameras. However, with the rapid advancement of artificial intelligence, multimedia content is no longer solely dependent on such high-quality digital imaging hardware; it can now be generated directly through AI-driven models. The increased diversity and convenience of multimedia creation have significantly facilitated the distribution and sharing of content across various social platforms, thereby generating a massive volume of multimedia data exchange. This proliferation of multimedia data has, in turn, exposed the field to a range of security challenges—including privacy breaches, copyright infringement, content forgery, and issues regarding credibility.

To address these security challenges, numerous researchers in the field of multimedia security have devoted substantial effort to developing technologies that tackle issues related to privacy leakage, copyright protection, and credibility—specifically by intervening at the very source of multimedia generation. These technologies are playing an increasingly vital role in our daily lives.

This topic aims to call on researchers from all fields to pay attention to the impact of multimedia generation technology and security. Therefore, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• AI-based multimedia generation;
• Explainability of AI-based multimedia generation;
• Multimedia forensics and anti-forensics;
• Multimedia watermarking;
• Multimedia authenticity;
• Multimedia manipulation detection;
• Steganography and steganalysis in multimedia generation.

We look forward to receiving your contributions.

Dr. Hanzhou Wu
Dr. Yi Chen
Dr. Asad Malik
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.5	6.1	2011	16 Days	CHF 2400	Submit
Computers computers	4.2	9.1	2012	17.5 Days	CHF 1800	Submit
Electronics electronics	2.6	7.0	2012	16.4 Days	CHF 2400	Submit
Journal of Imaging jimaging	3.3	7.3	2015	18 Days	CHF 1800	Submit
Journal of Sensor and Actuator Networks jsan	4.2	11.3	2012	23.6 Days	CHF 2000	Submit
Multimedia multimedia	-	-	2025	15.0 days *	CHF 1000	Submit
Symmetry symmetry	2.2	5.2	2009	15.8 Days	CHF 2400	Submit

* Median value for all MDPI journals in the second half of 2025.

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