Human Genome Data Protection Using PostgreSQL DBMS

  • Péter Lehotay-Kéry
  • Attila Kiss
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 850)


There can be a data boom in the near future, due to cheaper methods make possible for everyone to keep their own DNA on their own device or on a central medical cloud. These are sensitive data. There are a lot of cases, when genomes are contained in text files. The size of these can even be 3 GB on every user. Secured data management is not solved in these files.

By using database managers, the levels of permissions can be managed, security and encryption is not the task of the user, because these are integrated into the database manager systems. In this paper, we would like to demonstrate, with the use of an open-source database manager system and with some typical bioinformatical algorithms, that bioinformatical methods can be solved with integrating them into the database manager systems. With efficiency measurements we would like to present, that the use of database manager systems can be efficient in more complex environments.


Bioinformatics Biology Cryptography Databases Genetics 



The project was supported by the European Union, co-financed by the European Social Fund (EFOP-3.6.3-VEKOP-16-2017-00002).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Information Systems, Faculty of InformaticsELTE Eötvös Loránd UniversityBudapestHungary
  2. 2.J. Selye UniversityKomárnoSlovakia

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