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Securing Big Data for Knowledge Management into a Circular Economy

Author

Listed:
  • Radu Bucea-Manea-Tonis

    (Economic Sciences, Hyperion University of Bucharest, 030615 Bucuresti, Romania)

  • Valentin Kuleto

    (Information Technology School ITS-Belgrade, LINK Group Belgrade, Faculty of Contemporary Arts Belgrade, University Business Academy in Novi Sad, 11000 Belgrade, Serbia)

  • Šemsudin A. Plojović

    (Information Technology School ITS-Belgrade, LINK Group Belgrade, Faculty of Contemporary Arts Belgrade, University Business Academy in Novi Sad, 11000 Belgrade, Serbia)

  • Adrian Beteringhe

    (Informatics and Social Assistance, Danubius University of Galati, 800654 Galati, Romania)

  • Milena P. Ilić

    (Information Technology School ITS-Belgrade, LINK Group Belgrade, Faculty of Contemporary Arts Belgrade, University Business Academy in Novi Sad, 11000 Belgrade, Serbia)

Abstract

The main purpose of the article is to find a solution to secure data transfer. Big data, a mark of Industry 4.0, comes with the risk of transferring knowledge. Data management is becoming harder to be administered, and Big Data (BD) can be a good solution for it. Sending data containing information about actions to be taken by the system may expose the values of the system’s parameters. Securing the data will stop any third party from interfering with the communication and sending its commands to the remote system. Thus, the article presents a case study that proves how to secure BD read/write operations using the Gauss function and how to use Secure Shell (SSH), a cryptographic network protocol, to generate key-value pairs for safely operating services over an unsecured network.

Suggested Citation

  • Radu Bucea-Manea-Tonis & Valentin Kuleto & Šemsudin A. Plojović & Adrian Beteringhe & Milena P. Ilić, 2022. "Securing Big Data for Knowledge Management into a Circular Economy," Sustainability, MDPI, vol. 14(22), pages 1-11, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14851-:d:968922
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    References listed on IDEAS

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    Keywords

    big data; NoSQL; RSA;
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