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Related Experiment Video

Updated: May 7, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Query-biased preview over outsourced and encrypted data.

Ningduo Peng1, Guangchun Luo, Ke Qin

  • 1School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.

Thescientificworldjournal
|October 1, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a secure method for retrieving keyword snippets from encrypted cloud data without decryption. This enables content previews, enhancing search efficiency and user experience for sensitive information.

Related Experiment Videos

Last Updated: May 7, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Area of Science:

  • Computer Science
  • Cryptography
  • Information Security

Background:

  • Users encrypt sensitive data for cloud storage security and convenience.
  • Searching encrypted data is challenging, requiring costly downloads and decryption.
  • Query-biased previews are essential for efficient information retrieval but difficult with encrypted data.

Purpose of the Study:

  • To develop a secure method for extracting query-biased snippets from encrypted data.
  • To enable content previews for encrypted documents without full decryption.
  • To enhance the searchability of encrypted cloud-stored information.

Main Methods:

  • A single-server, two-round solution based on private information retrieval and searchable encryption.
  • Making documents previewable under any cryptosystem.
  • Constructing a secure index for dynamic snippet computation based on keyword queries.

Main Results:

  • A novel scheme to securely obtain query-biased snippets from encrypted data.
  • The proposed scheme supports previewing documents without decryption.
  • Achieved O(d) storage and O(log(d/s) + s + d/s) communication complexity per document.

Conclusions:

  • The developed method securely provides keyword-in-context snippets from encrypted data.
  • This significantly improves the usability of encrypted cloud storage for search operations.
  • Offers an efficient and secure solution for previewing encrypted documents.