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Secure Skyline Queries on Cloud Platform.

Jinfei Liu1, Juncheng Yang1, Li Xiong1

  • 1Department of Mathematics & Computer Science, Emory University.

Proceedings. International Conference on Data Engineering
|September 9, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a secure protocol for processing skyline queries on encrypted cloud data. It ensures data privacy while enabling efficient multi-criteria decision-making without revealing sensitive information.

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Area of Science:

  • Computer Science
  • Cryptography
  • Database Systems

Background:

  • Cloud computing offers cost-effective data storage and processing.
  • Protecting sensitive data (e.g., medical records) in the cloud is crucial due to privacy concerns.
  • Querying encrypted data securely and efficiently remains a significant challenge.

Purpose of the Study:

  • To address the challenge of secure skyline queries over encrypted data.
  • To develop a protocol that allows cloud servers to process skyline queries without accessing plaintext data.
  • To ensure the cloud server gains no knowledge of the data, query, or results.

Main Methods:

  • Proposed a fully secure skyline query protocol using semantically-secure encryption.
  • Introduced a novel secure dominance protocol as a key subroutine, applicable to other queries.
  • Developed and evaluated both serial and parallelized implementations of the protocols.

Main Results:

  • Demonstrated a feasible solution for secure skyline queries on encrypted data.
  • The secure dominance protocol serves as a versatile building block for various secure query types.
  • Empirical studies confirmed the efficiency and scalability of the proposed protocols under diverse settings.

Conclusions:

  • The developed protocol enables secure and efficient skyline query processing in cloud environments.
  • The research contributes a foundational secure dominance protocol for broader applications in secure data processing.
  • The findings validate the practical feasibility of outsourcing complex queries like skyline queries on encrypted sensitive data.