International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

“DOCU SAFE” Secure Data Management System Using Machine Learning

Abstract

A data management system is crucial to businesses as it efficiently organizes, secures, and leverages data, enabling informed decision-making, streamlined operations, and improved competitiveness. Machine learning enhances data management by automating insights extraction, predictive analytics, and pattern recognition, optimizing data utilization and driving informed business strategies. DOCU SAFE is a web base secure data management system that uses machine learning and NLP to enable organizations to store, manage, and analyze their data securely. The system addresses the challenges associated with data uploading, moving, and processing, including size/storage/volume of data, inconsistency and variety of data, formatting of data, security of data, analyzing and mapping of data, and cost management issues. DOCU SAFE provides a scalable solution for data management, enabling organizations to handle large volumes of data efficiently. The system uses machine learning algorithms to ensure that data is consistent, accurate, and secure, providing organizations with insights that can be used to make informed decisions. The data we enter here can be directed to four categories of classification, hidden and highlight, encryption, and hygiene solutions according to our needs. They currently have many tools in this regard, but there are problems with them. In addition, there are separate tools for data classification, data hidden and highlight, data encryption, data hygiene solutions, and there is no possibility to do everything with one tool/system. Here, all the above issues are the provided by same tool. Overall, DOCU SAFE is an effective solution for organizations that handle sensitive data and need a secure and efficient data management system.

Country : Sri Lanka

1 R.M.P.S.Rajapaksha2 S.A.A.T.S.Sooriyamali3 L.D.C.Jayarathna4 H.S.D De Silva5 Ms.Chethana Liyanapathirana6 Dr. Lakmal Rupasinghe

  1. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  6. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 11, November 2023 pp. 32-49

doi.org/10.47001/IRJIET/2023.711007

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