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A Dynamic Four-Step Data Security Model for Data in Cloud Computing Based on Cryptography and Steganography.

Rose Adee1, Haralambos Mouratidis1,2

  • 1Department of Computer and Systems Sciences, Stockholm University, Borgarfjordsgatan 12, Kista, 164 40 Stockholm, Sweden.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary

This study proposes a novel four-step cloud data security model combining cryptography and steganography to enhance data protection and privacy against loss, manipulation, and theft.

Keywords:
cloud computingcryptographycybersecuritydataprivacysecurity modelsteganography

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Area of Science:

  • Computer Science
  • Information Security
  • Cloud Computing

Background:

  • Cloud computing offers scalable resources but faces significant security and privacy challenges.
  • Existing cloud security models often fall short in addressing data loss, manipulation, and theft.
  • A robust data security framework is essential for user trust and data integrity in cloud environments.

Purpose of the Study:

  • To develop a comprehensive data security model for cloud computing environments.
  • To integrate cryptographic and steganographic techniques to mitigate security and privacy risks.
  • To enhance data confidentiality, integrity, and availability in the cloud.

Main Methods:

  • Literature review of existing cloud security models.
  • Design Science Research methodology, including problem identification and artifact development.
  • Implementation using Python, incorporating Rivest-Shamir-Adleman, Advanced Encryption Standard, identity-based encryption, and Least Significant Bit steganography.

Main Results:

  • A four-step data security model encompassing encryption, steganography, backup/recovery, and secure sharing.
  • Demonstration of the model's effectiveness through histograms, tables, and algorithms.
  • Validation of enhanced data redundancy, flexibility, efficiency, and security.

Conclusions:

  • The proposed model effectively addresses cloud data security and privacy concerns.
  • The integration of advanced cryptographic and steganographic methods provides a robust defense against data threats.
  • This approach significantly improves the overall security posture of cloud data storage and management.