Digital Forensics through Multimedia Source Inference

Submission Deadline: 30 June 2019

IEEE Access invites manuscript submissions in the area of Digital Forensics through Multimedia Source Inference.

With the prevalence of low-cost imaging devices (smartphones, tablets, camcorders, digital cameras, scanners, wearable and IoT devices), images and videos have become the main modalities of information being exchanged in every walk of life. The ever-increasing convenience of image acquisition has facilitated instant distribution and sharing of multimedia on digital social platforms. In the meantime, powerful multimedia editing tools allow even unskilled people to easily manipulate digital content for malicious or criminal purposes. In all cases where multimedia serves as critical evidence, forensic technologies that help to determine the origin, the authenticity of multimedia sources and integrity of multimedia content become essential to forensic investigators.

Imaging devices and post-acquisition processing software leave unique “fingerprints” in multimedia content. This allows many challenging problems faced by the multimedia forensics community to be addressed through source inference. Source inference is the task of linking digital content to its source device or platform (e.g. social media such as Facebook) responsible for its creation.  It can facilitate applications such as verification of source device and platform, common source inference, identification of source device and platform, content integrity verification, and source-oriented image clustering. It also allows the establishment of digital evidence or history of multimedia processing steps applied to the content, starting from the acquisition procedure up to tracking the spread.

Recent adoption of multimedia source inference techniques in the law enforcement sector (e.g., UK Sussex Police, Guildford Crown Court and INTERPOL) in real-world criminal cases and child sexual exploitation databases has manifested the significant value of multimedia source inference in the fight against crime. This Special Section in IEEE Access aims to collect a diverse and complementary set of articles that demonstrate new developments and applications in digital forensics through multimedia source inference.

The topics of interest include, but are not limited to:

  • Multimedia processing techniques for source inference
  • Machine learning and pattern recognition techniques for source inference
  • Formulation and extraction of device and platform fingerprints
  • New state-of-the-art datasets for multimedia forensics benchmarking
  • Studies of successful cases of source inference application


We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.


Associate Editor:  

Irene Amerini, MICC – Media Integration and Communication Center, University of Florence, Italy

Prof. Chang-Tsun Li,  Charles Sturt University, Australia

Guest Editors:

  1. Nasir Memon, NYU Tandon, USA
  2. Jiwu Huang, Shenzhen University, China

IEEE Access Editor-in-Chief:
  Derek Abbott, Professor, University of Adelaide

Paper submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: