75 citations · 116 across the 3 of their papers we have counts for
5 papers
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…
PSUM:Peer-to-peer multimedia content distribution using collusion-resistant fingerprinting
Amna Qureshi, David Megías, Helena Rifà-Pous
The use of peer-to-peer (P2P) networks for multimedia distribution has spread out globally in recent years. The mass popularity is primarily driven by cost-effective distribution o…
Collusion-resistant and privacy-preserving P2P multimedia distribution based on recombined fingerprinting
David Megías, Amna Qureshi
Recombined fingerprints have been suggested as a convenient approach to improve the efficiency of anonymous fingerprinting for the legal distribution of copyrighted multimedia cont…
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…