Zobrazeno 1 - 10
of 103
pro vyhledávání: '"David Megías"'
Autor:
Miguel Nunez-del-Prado, Yoshitomi Maehara-Aliaga, Julián Salas, Hugo Alatrista-Salas, David Megías
Publikováno v:
Applied Sciences, Vol 12, Iss 4, p 2131 (2022)
Currently, individuals leave a digital trace of their activities when they use their smartphones, social media, mobile apps, credit card payments, Internet surfing profile, etc. These digital activities hide intrinsic usage patterns, which can be ext
Externí odkaz:
https://doaj.org/article/d75561d6c8994d939bcb252ef1e4b49e
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10928 (2021)
Data hiding techniques [...]
Externí odkaz:
https://doaj.org/article/3768c9f13bce4a8a9948c3620ad22735
Autor:
Amna Qureshi, David Megías Jiménez
Publikováno v:
Applied Sciences, Vol 11, Iss 1, p 1 (2020)
In this paper, we provide a holistic survey of multimedia content protection applications in which blockchain technology is being used. A taxonomy is developed to classify these applications with reference to the technical aspects of blockchain techn
Externí odkaz:
https://doaj.org/article/26f2b78491a34008bc3ce4321c78e7c5
Publikováno v:
Computers, Vol 9, Iss 2, p 26 (2020)
Copyright protection is one of the most relevant challenges in the network society. This paper focuses on digital fingerprinting, a technology that facilitates the tracing of the source of an illegal redistribution, making it possible for the copyrig
Externí odkaz:
https://doaj.org/article/632cfa45ac1f48e28aea0acaf0395095
Publikováno v:
Entropy, Vol 21, Iss 9, p 847 (2019)
This article presents a semi-fragile image tampering detection method for multi-band images. In the proposed scheme, a mark is embedded into remote sensing images, which have multiple frequential values for each pixel, applying tree-structured vector
Externí odkaz:
https://doaj.org/article/f90b00c8d57947feaa8f0769879ada5d
Autor:
Nanni, Mirco, Andrienko, Gennady, Barabási, Albert-László, Boldrini, Chiara, Bonchi, Francesco, Cattuto, Ciro, Chiaromonte, Francesca, Comandé, Giovanni, Conti, Marco, Coté, Mark, Dignum, Frank, Dignum, Virginia, Domingo-Ferrer, Josep, Ferragina, Paolo, Giannotti, Fosca, Guidotti, Riccardo, Helbing, Dirk, Kaski, Kimmo, Kertesz, Janos, Lehmann, Sune, Lepri, Bruno, Lukowicz, Paul, Matwin, Stan, Jiménez, David Megías, Monreale, Anna, Morik, Katharina, Oliver, Nuria, Passarella, Andrea, Passerini, Andrea, Pedreschi, Dino, Pentland, Alex, Pianesi, Fabio, Pratesi, Francesca, Rinzivillo, Salvatore, Ruggieri, Salvatore, Siebes, Arno, Trasarti, Roberto, Hoven, Jeroen van den, Vespignani, Alessandro
Publikováno v:
Transactions on Data Privacy 13(1): 61-66 (2020), http://www.tdp.cat/issues16/abs.a389a20.php
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when lockdown and other restriction measures are progressively withdrawn,
Externí odkaz:
http://arxiv.org/abs/2004.05222
Analysis and effectiveness of deeper levels of SVD on performance of hybrid DWT and SVD watermarking
Autor:
Tanya Koohpayeh Araghi, David Megías
Publikováno v:
Multimedia Tools and Applications.
In this paper, an analysis on hybrid Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) for image watermarking is carried out to investigate the effect of a deeper level of the SVD on imperceptibility and robustness to resist com
Autor:
Hamza Kheddar, David Megías
Publikováno v:
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Universitat Oberta de Catalunya (UOC)
In this paper, a novel steganographic method for Voice over IP applications -called Steganography-based Interpolation and Auto-Encoding (SIAE)- is proposed. The aim of the proposed scheme is to securely transmit a secret speech hidden within another
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031257339
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4bc01c65abe93ebdbc53ba2e17d7ae4
https://doi.org/10.1007/978-3-031-25734-6_2
https://doi.org/10.1007/978-3-031-25734-6_2
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031280726
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56acd8552c0f6689f7d36e1aad2de6cb
https://doi.org/10.1007/978-3-031-28073-3_47
https://doi.org/10.1007/978-3-031-28073-3_47