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Privacy and data protection in mobile cloud computing: A systematic mapping study.

Hussain Mutlaq Alnajrani1,2, Azah Anir Norman1, Babiker Hussien Ahmed1

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This study maps research on privacy and data protection in mobile cloud computing (MCC). It identifies current threats, solutions, and trends, highlighting open issues for future research and practice.

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Area of Science:

  • Computer Science
  • Information Security
  • Mobile Computing

Background:

  • The rise of mobile cloud computing (MCC) has increased concerns regarding user privacy and data protection.
  • While research in MCC privacy is growing, a comprehensive overview of existing studies, trends, and open issues is lacking.

Purpose of the Study:

  • To systematically map and analyze primary studies on privacy and data protection in MCC.
  • To identify current trends, threats, attacks, solutions, and open research issues in the MCC privacy domain.

Main Methods:

  • A systematic mapping study was conducted, addressing six research questions.
  • 1711 studies published between 2009 and 2019 were initially collected.
  • A rigorous filtering process resulted in the selection of 74 primary studies for analysis.

Main Results:

  • Identified prevalent data privacy threats, common attacks, and proposed solutions within MCC.
  • Observed ongoing trends in data privacy practices and highlighted frequently used security measures.
  • Characterized the types of research and contributions within the selected studies.

Conclusions:

  • The study provides a comprehensive overview of the state-of-the-art in MCC privacy and data protection.
  • Findings highlight current research trends and pinpoint critical open issues for future investigation.
  • Offers valuable insights for both researchers and practitioners in the MCC field.