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Related Experiment Video

Updated: Mar 13, 2026

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

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An Improvement to a Multi-Client Searchable Encryption Scheme for Boolean Queries.

Han Jiang1, Xue Li2, Qiuliang Xu3

  • 1School of Computer Science and Technology, Shandong University, No. 1500 of Shunhua Road, Jinan, Shandong, People's Republic of China. jianghan@sdu.edu.cn.

Journal of Medical Systems
|October 11, 2016
PubMed
Summary
This summary is machine-generated.

This study enhances searchable encryption for cloud-based e-health systems. The improved scheme reduces server-user interactions for secure data searching, improving efficiency.

Keywords:
Boolean queryMedical cloudMulti-Client searchable encryptionPseudo-random function

Related Experiment Videos

Last Updated: Mar 13, 2026

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

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Area of Science:

  • Cloud Computing Security
  • Cryptography
  • E-health Systems

Background:

  • Cloud migration offers e-health benefits but introduces security risks.
  • Searchable Encryption (SE) protects data confidentiality while enabling utilization.
  • Existing practical SE schemes (Cash et al.) require numerous server-user interactions for Boolean queries.

Purpose of the Study:

  • To improve the efficiency of searchable encryption schemes for cloud-based e-health data.
  • To reduce the interaction rounds between the data user and the server during the search phase.
  • To optimize the generation of search tokens in searchable encryption.

Main Methods:

  • Proposed an enhanced searchable encryption scheme.
  • Enabled the server to provide information aiding exact search token generation.
  • Analyzed the reduction in server-user interaction rounds and computational cost.

Main Results:

  • Reduced server-user interactions to only two rounds.
  • The search token size is dependent on the number of keywords (n) and minimum document count (m).
  • Server computation cost is reduced to O(n * m) modular exponentiation operations.

Conclusions:

  • The enhanced searchable encryption scheme significantly improves efficiency for secure e-health data searching in the cloud.
  • The proposed method offers a more practical and faster approach compared to previous SE schemes.
  • This advancement contributes to more secure and usable cloud-based e-health solutions.