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This systematic literature review analyzes data protection techniques for cloud storage. It categorizes methods into non-cryptographic and cryptographic approaches, comparing their effectiveness and overhead for enhanced cloud data security.

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Area of Science:

  • Computer Science
  • Information Security
  • Cloud Computing

Background:

  • Cloud computing offers utility-based services, but data privacy and security are critical due to remote storage and lack of physical access.
  • Protecting sensitive data outsourced to the cloud necessitates robust data protection techniques.

Purpose of the Study:

  • To systematically review and synthesize studies on data protection techniques for cloud storage.
  • To classify identified techniques and compare their performance metrics.

Main Methods:

  • A systematic literature review (SLR) was conducted, selecting 52 studies from 493 research articles.
  • Data protection techniques were categorized into non-cryptographic (data splitting, anonymization, steganography) and cryptographic (encryption, searchable encryption, homomorphic encryption, signcryption).

Main Results:

  • The review identified and categorized various data protection techniques for cloud environments.
  • Techniques were compared based on data protection accuracy, overhead, and operations on masked data.

Conclusions:

  • Both non-cryptographic and cryptographic techniques offer solutions for cloud data protection, each with distinct advantages and disadvantages.
  • Future research should address challenges in implementing these techniques for comprehensive cloud data security.