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Intelligent Data Management and Security in Cloud Computing.

Lidia Ogiela1, Marek R Ogiela2, Hoon Ko3

  • 1Department of Cryptography and Cognitive Informatics, Pedagogical University of Krakow, 30-084 Kraków, Poland.

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|June 24, 2020
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Summary
This summary is machine-generated.

This study introduces intelligent linguistic threshold schemes for secure data sharing and protection, enhancing data services management through innovative cryptographic and linguistic methods for confidential information security.

Keywords:
cryptographic sharing algorithmsdata securityservice management processes

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Area of Science:

  • Computer Science
  • Information Security
  • Cryptography

Background:

  • Current data protection methods face challenges in securing sensitive information and data services.
  • The need for advanced protocols for confidential data sharing is critical in distributed environments.
  • Existing solutions may not adequately address the complexities of multi-level data management and protection.

Purpose of the Study:

  • To present novel techniques for secret data management and protection, focusing on securing data services.
  • To introduce information-sharing protocols designed for confidential data, presented algorithmically.
  • To develop intelligent linguistic threshold schemes combining cryptographic and linguistic methods for enhanced security.

Main Methods:

  • Development of algorithmic forms for data-sharing protocols to prevent unauthorized acquisition.
  • Application of cryptographic threshold techniques to split secrets among trustees.
  • Integration of linguistic methods for describing shared secrets, creating intelligent linguistic threshold schemes.
  • Utilizing formal graphs for secret representation, division, and transmission over distributed networks.

Main Results:

  • Demonstration of new protocols for securing data services at various management levels.
  • Successful integration of cryptographic thresholding and linguistic methods into novel security schemes.
  • Feasibility assessment of applying these protocols to cloud management processes and other complex environments.

Conclusions:

  • Intelligent linguistic threshold schemes offer a new class of protocols for advanced data protection.
  • The presented techniques enhance the security of data services and confidential information sharing.
  • The innovative approach using formal graphs and distributed networks provides a robust framework for secret management.