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Searchable Encryption Scheme for Personalized Privacy in IoT-Based Big Data.

Shuai Li1, Miao Li2, Haitao Xu3

  • 1School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China. lis198707@gmail.com.

Sensors (Basel, Switzerland)
|March 6, 2019
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Summary
This summary is machine-generated.

The Internet of Things (IoT) generates vast amounts of data. This research proposes a searchable encryption scheme to protect big data privacy during storage, ensuring data utility and personalized privacy needs.

Keywords:
Internet of Thingsbig dataindex indistinguishabilitypersonalized privacy needssearchable encryptiontrapdoor indistinguishability

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Area of Science:

  • Computer Science
  • Information Security
  • Data Privacy

Background:

  • The Internet of Things (IoT) integrates millions of intelligent devices, connecting the physical and digital worlds.
  • Rapid IoT development leads to a dramatic increase in sensor-generated data, creating a significant area of research in IoT-based big data.
  • A critical challenge in IoT big data is balancing data utility with robust privacy preservation.

Purpose of the Study:

  • To address the protection of big data privacy during the data storage phase within IoT environments.
  • To propose a novel searchable encryption scheme designed to meet personalized privacy requirements.
  • To ensure data utility is maintained while safeguarding sensitive information.

Main Methods:

  • Development of a searchable encryption scheme tailored for IoT big data storage.
  • The scheme is designed to accommodate all file types, including text, audio, image, and video.
  • Evaluation of the scheme's ability to meet diverse individual privacy needs.

Main Results:

  • The proposed scheme effectively protects big data privacy in the storage phase.
  • It supports personalized privacy settings, catering to different users' needs.
  • The scheme demonstrates high utility across various file formats.
  • Achieves index indistinguishability and trapdoor indistinguishability.

Conclusions:

  • The developed searchable encryption scheme offers a viable solution for securing IoT big data during storage.
  • It successfully balances data utility with personalized privacy, a key challenge in IoT research.
  • The scheme's ability to ensure index and trapdoor indistinguishability enhances its security profile.