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Developed Framework Based on Cognitive Computing to Support Personal Data Protection Under the GDPR

  • Soraya SedkaouiEmail author
  • Dana Simian
Conference paper
  • 220 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1126)

Abstract

The General Data Protection Regulation (GDPR) has entered into force in the European Union (EU) since 25 May 2018 in order to satisfy present difficulties related to private information protection. This regulation involves significant structural for companies, but also stricter requirements for personal data collection, management, and protection. In this context, companies need to create smart solutions to allow them to comply with the GDPR and build a feeling of confidence in order to map all their personal data. In these conditions, cognitive computing could be able to assist companies extract, protect and anonymize sensitive structured and unstructured data. Therefore, this article proposes a framework that can serve as an approach or guidance for companies that use cognitive computing methods to meet GDPR requirements. The goal of this work is to examine the smart system as a data processing and data protection solution to contribute to GDPR compliance.

Keywords

GDRP Data protection Cognitive computing Data processing Framework 

Notes

Acknowledgement

This research was realized under the “Eugen Ionescu” fellowship program, supported by “Agence Universitaire de Francophonie” (AUF) in Romania. The AUF team played no role in the writing of this article, or the decision to submit it for MDIS 2019 conference.

Conflict of Interest

The authors declare no conflict of interest.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of Khemis MilianaKhemis MilianaAlgeria
  2. 2.Department of Mathematics and InformaticsLucian Blaga UniversitySibiuRomania

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