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Related Experiment Video

Updated: May 5, 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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NEF-DHR: A Non-Equivalent Functional Dynamic Heterogeneous Redundancy Architecture for Endogenous Safety and

Bingbing Jiang1, Yilin Kang2,3, Hanzhi Cai4

  • 1Department of Computer Science and Technology, Huaiyin Normal University, Huai'an 223300, China.

Entropy (Basel, Switzerland)
|May 4, 2026
PubMed
Summary

This study introduces Non-Equivalent Functional Dynamic Heterogeneous Redundancy (NEF-DHR) to enhance endogenous safety and security (ESS). NEF-DHR improves system unpredictability and attack resistance, offering superior performance and robustness for large-scale security deployments.

Keywords:
DHR architectureendogenous safety and securityfunction secret sharinginformation entropynon-equivalent functional decomposition

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Area of Science:

  • Computer Science
  • Information Security
  • System Architecture

Background:

  • Endogenous safety and security (ESS) is crucial for information systems.
  • Dynamic Heterogeneous Redundancy (DHR) is a common ESS implementation.
  • Existing EF-DHR architectures have security vulnerabilities and high costs.

Purpose of the Study:

  • To propose a novel NEF-DHR architecture to overcome EF-DHR limitations.
  • To enhance system security and reduce engineering complexity.
  • To improve the robustness and applicability of ESS.

Main Methods:

  • Proposed Non-Equivalent Functional DHR (NEF-DHR) architecture.
  • Utilized function secret sharing (FSS) theory.
  • Introduced 'terminal executor output information entropy loss' concept.

Main Results:

  • NEF-DHR eliminates the contradiction between functional equivalence and heterogeneous implementations.
  • Theoretically proved improved unpredictability and attack resistance.
  • Experimental validation showed lower error rates, enhanced robustness, and superior ESS performance.

Conclusions:

  • NEF-DHR offers a novel, entropy-enhanced solution for ESS.
  • The generalized DHR architecture and ESS classification advance the field.
  • This work facilitates large-scale deployment of secure DHR systems.