I work on image steganalysis which is the science of detecting the presence of hidden information in a given image. The goal of my ongoing research is that from only one given image, I will try to built a model distribution for cover images (original images) and perform hypothesis testing to check if the given image is clean or not.

This project takes place in the domain of image forensics. The main goal is to certify if an image is a clean or a doctored image. The associated decision process must be as reliable as possible because the digital proof of falsification is really credible only if the method of detection returns very limited number of errors. In a first step, it is proposed to develop some methods to detect malicious modifications of digital images from two complementary approaches, a first approach based on the modelisation of the digital image acquisition process and a second approach based on machine learning. Considering that the two approaches are scientifically complementary, it will be then proposed to fuse them in order to form a unique detector of digital image integrity.

I am working on the “Content-based document signature for IoT security” project. The goal is tocompute a unique content-based signature to allow authenticating an IoT data object independently of its physical representation. Particularly, different components of the document and their spatial relationships (for images this would be printed text, tables, graphics, stamps, handwritten signature…) will be extracted. We then compute the signature by combining two hash values, cryptographic hash for textual parts and perceptual image hash for graphical parts

Towards universal Anti-Forensics and Forensics of digital Images

Information theory

Courses assisted: Information theory

Authentication using graphical codesProject: ESTAMPILLE,http://www.agence-nationale-recherche.fr/?Project=ANR-10-CORD-0019

Courses assisted: Information theory

Courses assisted: Information theory

Branching random walk on the line

Courses assisted: Analysis, Calculus, Applied Statistics in Biology