75 citations · 111 across the 4 of their papers we have counts for
5 papers
Real-world actor-based image steganalysis via classifier inconsistency detection
Daniel Lerch-Hostalot, David Megías
In this paper, we propose a robust method for detecting guilty actors in image steganography while effectively addressing the Cover Source Mismatch (CSM) problem, which arises when…
Subsequent embedding in targeted image steganalysis: Theoretical framework and practical applications
David Megías, Daniel Lerch-Hostalot
Steganalysis is a collection of techniques used to detect whether secret information is embedded in a carrier using steganography. Most of the existing steganalytic methods are bas…
Detection of Classifier Inconsistencies in Image Steganalysis
Daniel Lerch-Hostalot, David Megías
In this paper, a methodology to detect inconsistencies in classification-based image steganalysis is presented. The proposed approach uses two classifiers: the usual one, trained w…
LSB Matching Steganalysis Based on Patterns of Pixel Differences and Random Embedding
Daniel Lerch-Hostalot, David Megías
This paper presents a novel method for detection of LSB matching steganogra- phy in grayscale images. This method is based on the analysis of the differences between neighboring pi…
Unsupervised Steganalysis Based on Artificial Training Sets
Daniel Lerch-Hostalot, David Megías
In this paper, an unsupervised steganalysis method that combines artificial training setsand supervised classification is proposed. We provide a formal framework for unsupervisedcl…