QUIVIR Research Group
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Projects and Research




Master Thesis



Faculty Members

Rafael M. Gasca, PhD

María Teresa Gómez, PhD

Pablo Neira Ayuso, PhD

Sergio Pozo Hidalgo, PhD

Rafael Ceballos, PhD

Fernando de la Rosa, PhD

Miguel Toro, PhD

Diana Borrego, PhD

Ángel Jesús Varela Vaca, PhD

Luisa Parody, PhD

José Miguel Pérez Álvarez


TDiaCO-BPMS (2010)

OPbus (2009)

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You can also access Finished Projects below Ongoing Projects.

Finished Projects

Manager: Carmelo Del Valle
Researchers: Rafael M. Gasca, María Teresa Gómez, Fernando de la Rosa, Rafael Ceballos, Sergio Pozo, Pablo Neira, Irene Barba, Diana Borrego, Angel J. Varela-Vaca and Mª Luisa Parody. 

 Manager: María Teresa Gómez López
         Researchers: Rafael Martínez Gasca and Jose Miguel Pérez Álvarez
  • Mejora de la Calidad de Procesos de Negocios Mediante Tecnologías de Optimización y Tolerancia a Fallos, P08-TIC-04095. This project is funded by Junta de Andalucía by means the Consejería de Innovación, Ciencia y Empresa   
Manager: Rafael M. Gasca
 Rafael Ceballos, María Teresa Gómez, Fernando de la Rosa, Carmelo del Valle, Diana Borrego and Irene Barba

Manager: Rafael M. Gasca
Researchers: Pedro Abad, Rafael Ceballos, María Teresa Gómez, Antonio Márquez, Sergio Pozo, Fernando de la Rosa, Antonio J. Suárez, Carmelo del Valle, Irene Barba, Diana Borrego y Pablo Neira

Project summary: Fault detection, diagnosis and tolerance in systems allow to naibtaib the process in a high level of production and reliability. The present techniques show problems when they are applied to uncertain and distributed systems. For this reason, they are being researched in a very active way to develop new techniques. The most important objetives of this projects are to decrease de high false positive and false negative rates, to improve the computational efficiency of fault detection and diagnosis and to automate the identification of components that are the cause of the failures (more information).

  • Automation of Detection and diagnosis of malfunctions of static and dynamic systems using semiqualitative knowledge, DPI2003-07146-C02-01, 2003-2006. This project is funded by the Spanish Ministry of Science and Education and ERFD/FEDER.

Manager: Rafael M. Gasca
Researchers: Pedro Abad, Rafael Ceballos, María Teresa Gómez, Luis González, Antonio Márquez, Sergio Pozo, Fernando de la Rosa, Antonio J. Suárez, Miguel Toro Bonilla, Carmelo del Valle y Pablo Neira

Project summary: Detection and diagnosis of devices or processes malfunctions is nowadays a very active research topic. Faults can originate undesirable stops and damages in the systems, thus increasing the costs and decreasing the production. Furthermore, faults can have an important negative impact over the environment which must avoided if possible. Therefore, the development of mechanisms to detect and diagnose faults as soon as possible is necessary in order to keep the systems in the desired levels of security, production and reliability, it helps the companies to survive in a market where the competitiveness is always increasing (more information).

  • Incident Response Team Forming, 2003--. This project is funded by the TI Service of University of Seville, and aimed at develop and deploy some security sercvices, and improve the general quality of the managed security services offered at this time, design and develop a corporate firewall in a heterogeneous network, and design and develop new security facilities that allows to form and manage efficient incident response capabilities.

Manager: Sergio Pozo
Researchers: Rafael M. Gasca

Project summary: The main problem an organization needing to improve its security is going to encounter, is the develop and deployment of a well-written, well-understood and near-reality security policy. Once there is one and is working properly, other needs will arise, such as mechanisms to implement part of this security policy (corporate firewalls). New security-related tools are going to be developed in order to help people taking incident response tasks and system administrators to cope in a more efficient way with their jobs.

  • Remote Monitoring and Detection of Deviation on Therapies using Artificial Intelligence (TelMedIA), 2005-2006. This project is funded by CITIC

Manager: Rafael M. Gasca
Researchers: Carmelo del Valle, Diana Borrego, Irene Barba

Project summary: This R&D Project is centered on the productive sector and e-Health services. It is funded by CITIC (Andalusian Centre of IT Technolgies, Communications, and Innovation). The QUIVIR Research Group participates in this Project with the Spanish companies SKILL Consejeros de Gestión S.L. and SENECTA Servicios Sociosanitarios S.A.

  • Honeynet Deception Project, 2004-2005. One of the main problems of deception technologies is the increasing difficulty in real system simulation, and of course deception system occultation without attackers knowledge. Honeynet captured data usually represent attacks made by automated tools or by non skilled attackers. These attacks are not of interest for the research community, so we need to deploy efficient deception technologies to attrack skilled attackers.

Manager: Sergio Pozo
Researchers: Rafael M. Gasca, Aitor Facio

Project summary: With the Honeynet Deception Project we are going to study the best methods to know which are the most efficient mechanisms to attract skilled attackers (Websites with attractive content, real traffic and network simulation, system command simulation, normal activity simulation, etc). Then we are going to deploy these mechanisms in order to know which of them are the best suited ones for different kind of skilled attackers. Difficulties regarding Virtual Honeynet deployment will also be studied.

Manager: Rafael M. Gasca
Researchers: Sergio Pozo

Project summary: The overall goal in TeleCARE is the design and development of a secure and configurable framework and new technological solutions for tele-supervision and tele-assistance, based on the integration of a secure multi-agent system and a federated information management approach, including both stationary and mobile intelligent agents, combined with the services likely to be offered by the emerging ubiquitous computing and intelligent home appliances, and applied to assist elderly people. The traditional approach to care provision has been either to resort to support from relatives, or elderly care centers. However, these solutions have become increasingly inappropriate.
Therefore, the objective of the project is to leverage the potential of information society technologies, in particular, stationary and mobile intelligent agents and virtual organizations, combined with a high-end security module, to improve the quality of life, and care, for elderly people and their families. The intended platform will support the establishment of Virtual Elderly Assistance Communities.

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Page last modified on November 25, 2015, at 06:03 PM