162 citations · 293 across the 8 of their papers we have counts for
9 papers
Complex domain approach for reversible data hiding and homomorphic encryption: General framework and application to dispersed data
David Megias
Ensuring the trustworthiness of data from distributed and resource-constrained environments, such as Wireless Sensor Networks or IoT devices, is critical. Existing Reversible Data…
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…
ZIRCON: Zero-watermarking-based approach for data integrity and secure provenance in IoT networks
Omair Faraj, David Megías, Joaquin Garcia-Alfaro
The Internet of Things (IoT) is integrating the Internet and smart devices in almost every domain such as home automation, e-healthcare systems, vehicular networks, industrial cont…
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…
Individual Differential Privacy: A Utility-Preserving Formulation of Differential Privacy Guarantees
Jordi Soria-Comas, Josep Domingo-Ferrer, David Sánchez +1
Differential privacy is a popular privacy model within the research community because of the strong privacy guarantee it offers, namely that the presence or absence of any individu…