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A Systematic Review on Privacy-Aware IoT Personal Data Stores.

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Internet of Things (IoT) data offers benefits but raises privacy concerns. Few studies address IoT privacy issues, and even fewer utilize Personal Data Stores (PDS) for solutions.

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Area of Science:

  • Computer Science
  • Information Science
  • Cybersecurity

Background:

  • Internet of Things (IoT) data drives innovation in smart cities and healthcare.
  • Collection of personal IoT data introduces significant privacy protection challenges.
  • Existing research lacks comprehensive analysis of IoT privacy issues and solutions.

Purpose of the Study:

  • To systematically review and synthesize the state-of-the-art on privacy issues in IoT.
  • To evaluate the role of Personal Data Store (PDS) technologies in addressing IoT privacy concerns.
  • To identify research gaps and trends in IoT privacy research.

Main Methods:

  • Systematic mapping review of 49 selected studies published up to 2023.
  • Analysis of literature focusing on privacy issues and PDS-based solutions in IoT.
  • Categorization and interpretation of findings based on defined research questions.

Main Results:

  • Only approximately 20% of reviewed works proposed solutions for IoT privacy issues.
  • A significant surge in research interest observed, with 82% of studies published between 2018-2023.
  • Limited exploration of Personal Data Store (PDS) solutions, with only two studies utilizing them.

Conclusions:

  • IoT privacy remains a critical research area with a growing body of literature.
  • There is a substantial need for more research and development of effective privacy-preserving solutions, particularly those leveraging PDS.
  • Future research should focus on practical implementations and evaluations of PDS for enhanced IoT data security.