Humans have sent secret messages for millennia. A cousin to cryptography, steganography is the art and science of sending a secret message in the open by camouflaging the message carefully. Steganography can take many shapes, and its digital form often uses a digital image or video as a cover to hide the message. With a smartphone app, image steganography is easy to use, requires no expert knowledge of the science, and can be difficult to detect. To study mobile steganography properly, one must have a suitable database. This talk presents StegoAppDB, a database of digital photographs expressly created for studying mobile steganography, that will be used in NIST’s Open Media Forensic Challenge.
Mobile steganography: Looking to the future
Conference/Workshop:
NIST Open Media Forensics Challenge
NIST Open Media Forensics Challenge
Published: 2021
Primary Author: Jennifer Newman
Type: Presentation Slides
Research Area: Digital
Related Resources
Computational Shoeprint Analysis for Forensic Science
Shoeprints are a common type of evidence found at crime scenes and are regularly used in forensic investigations. However, their utility is limited by the lack of reference footwear databases…
Challenges in Modeling, Interpreting, and Drawing Conclusions from Images as Forensic Evidence
When a crime is committed, law enforcement directs crime scene experts to obtain evidence that may be pertinent to identifying the perpetrator(s). Much of this evidence comes in the form…
Aligning Shoeprint Images that have nonlinear distortion effects
Shoeprints are aligned before assessing similarity, and automatic alignment algorithms can handle differences in translation, rotation [1], and scale. But shoeprints recorded at a crime scene may be partials photographed…
Graph-Theoretic Techniques for Forensic Image Comparisons
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.