A Model-based Approach to Realize Privacy and Data Protection by Design

Autor: Guillaume Mockly, Gabriel Pedroza, Victor Muntes-Mulero, Yod Samuel Martín

Publikováno v: 2021 IEEE European Symposium on Security and Privacy Workshops
IEEE Xplore
2021 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)
2021 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), Sep 2021, Vienna, Austria. pp.327-334, ⟨10.1109/EuroSPW54576.2021.00042⟩
EuroS&P Workshops
IWPE'21-2021 International Workshop on Privacy Engineering
IWPE'21-2021 International Workshop on Privacy Engineering, Sep 2021, vienne (Virtual conference), Austria

International audience; Telecommunications and data are pervasive in almost each aspect of our every-day life and new concerns progressively arise as a result of stakes related to privacy and data protection. Indeed, systems development becomes data-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2ac55ec79f4fd93aed659173016a1f4
https://cea.hal.science/cea-03602608

Service Level Agreement-based GDPR Compliance and Security assurance in (multi)Cloud-based systems

Autor: Victor Muntes, Luis Gonzalez, Xabier Larrucea, Peter Matthews, Massimiliano Rak, Wissam Mallouli, Jacek Dominiak, Erkuden Rios, Eider Iturbe

Publikováno v: TECNALIA Publications
Fundación Tecnalia Research & Innovation
IET Software

Compliance with the new European General Data Protection Regulation (Regulation (EU) 2016/679) and security assurance are currently two major challenges of Cloud-based systems. GDPR compliance implies both privacy and security mechanisms definition,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23f16156e85a7014ab56970923d3b494
http://hdl.handle.net/11556/686

Anomaly Detection Guidelines for Data Streams in Big Data

Autor: Victor Muntes, Marc Solé, Giovani Estrada, Annie Ibrahim Rana

Publikováno v: 2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI).

Real time data analysis in data streams is a highly challenging area in big data. The surge in big data techniques has recently attracted considerable interest to the detection of significant changes or anomalies in data streams. There is a variety o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9352900f91e9d3f855fc1a6ebd5762ca
https://doi.org/10.1109/iscmi.2016.24

Increasing Polynomial Regression Complexity for Data Anonymization

Autor: Jordi Nin, Jordi Pont-Tuset, Pau Medrano-Gracia, Josep L. Larriba-Pey, and Victor Muntes-Mulero

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Pervasive computing and the increasing networking needs usually demand from publishing data without revealing sensible information. Among several data protection methods proposed in the literature, those based on linear regression are widely used for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e2897e2515466deff6a3fa311de0a9f
https://doi.org/10.1109/ipc.2007.103

An inside analysis of a genetic-programming based optimizer.

Autor: Victor Muntes-Mulero, Calisto Zuzarte, Volker Markl

Publikováno v: 2006 10th International Database Engineering & Applications Symposium (IDEAS'06); 2006, p249-255, 7p