Here at MISL, we conduct research that provides information verification and security in scenarios when an information source cannot be trusted.

The majority of our research is in digital multimedia forensics. Digital multimedia forensics involves the developing mathematical techniques to identify multimedia forgeries such as falsified images and videos. This research is particularly important because widely available editing software enables multimedia forgers to create perceptually realistic forgeries. We also perform research on anti-forensic operations designed to fool forensic techniques. By studying anti-forensics, researchers can identify and address weaknesses in existing forensic techniques as well as develop techniques capable of identifying the use of anti-forensics.


Lateral Chromatic Aberration Forensics

Though integral parts of society rely upon digital images to convey authentic visual information, powerful editing software enables a forger to convincingly falsify an image's content. In copy-and-paste image forgeries, where the meaning of the imaged scene has been maliciously altered, inconsistencies in an imaging feature called lateral chromatic aberration (LCA) are intrinsically introduced. We have developed a new methodology to detect forged image regions based on detecting localized LCA inconsistencies. Additionally, we have created new and efficient LCA measurement algorithms, which reduce the computational burden of practical forgery detection.