Advances in Multimedia Information System Security
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Cybersecurity".
Deadline for manuscript submissions: closed (15 June 2026) | Viewed by 2517
Editors
Interests: multimedia security; privacy-preserving deep learning
Special Issue Information
Dear Colleagues,
In an era dominated by visual data, multimedia information systems have become critical to domains ranging from healthcare and biometrics to autonomous driving and smart cities. The proliferation of image and video content—coupled with advances in computer vision and deep learning—has enabled unprecedented capabilities in data understanding, pattern recognition, and decision-making. However, the very pervasiveness of these technologies introduces severe and evolving security challenges.
Multimedia data often contain highly sensitive information, making them a prime target for theft, manipulation, and misuse. From deepfake-generated content undermining public trust to adversarial attacks deceiving vision-based models, the vulnerabilities are both widespread and consequential. Furthermore, the integration of computer vision into safety-critical applications—such as medical diagnostics and surveillance—demands rigorous mechanisms to ensure authenticity, integrity, and confidentiality.
This Special Issue seeks original research and review articles addressing security and privacy issues in multimedia information systems, with an emphasis on the role of computer vision as both a threat vector and a defensive tool. We welcome contributions that propose novel theories, architectures, algorithms, or practical systems for enhancing the security of multimedia data throughout their lifecycle. Interdisciplinary approaches that align technical innovation with ethical and regulatory frameworks are strongly encouraged.
Topics of interest include, but are not limited to, the following:
Medical image segmentation and computer-aided diagnosis for healthcare.
Multimedia encryption, watermarking, and tamper detection.
Adversarial attacks and defenses in computer vision models.
Deepfake generation and detection techniques.
Privacy-preserving image and video analysis (e.g., federated learning, encrypted inference).
Secure biometric authentication and facial recognition systems.
Integrity verification for medical and scientific imaging.
Robust and explainable vision models under attack.
Lightweight security solutions for embedded and real-time vision systems.
Blockchain-based provenance and trust management for visual data.
Security and privacy in augmented reality (AR) and virtual reality (VR).
Forensics and multimedia content authentication.
Compliance-aware multimedia handling (e.g., GDPR, HIPAA).
Case studies and real-world deployments in healthcare, surveillance, IoT, and other domains).
Dr. Wei Song
Prof. Dr. Chong Fu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- multimedia information systems
- computer vision
- deep learning
- federated learning
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