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A doctoral thesis at the University of Murcia devises a method for extreme protection of personal data (27/03/2012)

A doctoral thesis at the Faculty of Informatics, University of Murcia by researcher Miguel Angel Martínez Aguilar has devised a method that can provide organizations with the necessary elements to ensure privacy and proper use of personal data.

The research, which has obtained excellent cum laude, offers a practical and systematic proposal to conduct an audit of personal data protection, for using a general method for requirements engineering.

To support the audit method created, the paper develops a software tool that facilitates its application.

Both the system created as a support tool has been validated in several real case studies, as stated in the thesis.

The research was led by Professors Eduardo Fernández-Medina, University of Castilla-La Mancha, José Ambrosio Toval, University of Murcia.

Was part of the court, among other professors, Mario Piattini, Professor of Languages ​​and Systems at the School of Computer Science of Ciudad Real, which is considered one of the world's best researchers in the fields of systems engineering and software.

Source: Universidad de Murcia

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