ARDR：融合自适应选择与证据推理的拟态防御鲁棒决策架构

郑秋华; 孙振宇; 章坚武; 徐李定; 周迪; 程传慧

doi:10.11959/j.issn.1000-0801.DXKX250636

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ARDR：融合自适应选择与证据推理的拟态防御鲁棒决策架构

研究与开发 | 更新时间：2026-06-17

- ARDR：融合自适应选择与证据推理的拟态防御鲁棒决策架构
- ARDR: an adaptive service selection and robust decision framework for heterogeneous executor
- 电信科学 2026年42卷第5期页码：30-47
- 作者机构：
  
  1.杭州电子科技大学网络空间安全学院，浙江杭州 310018
  2.浙江省全省敏感数据安全保护与保密治理重点实验室，浙江杭州 310018
  3.杭州电子科技大学通信工程学院，浙江杭州 310018
  4.中国电子科技集团第32研究所，上海 201808
  5.中南财经政法大学信息工程学院，湖北武汉 430073
- 作者简介：
  
  郑秋华（1973- ），男，博士，杭州电子科技大学网络空间安全学院副教授，主要研究方向为内生安全。
  孙振宇（2000- ），男，杭州电子科技大学网络空间安全学院硕士生，主要研究方向为内生安全。
  章坚武（1961- ），男，博士，杭州电子科技大学信息工程学院特聘教授，中国通信学会会士，主要研究方向为移动通信与信息安全、移动通信与AI融合技术。
  徐李定（1988- ），男，中国电子科技集团第32研究所研究员，主要研究方向为拟态安全。
  周迪（1975- ），男，博士，杭州电子科技大学网络空间安全学院研究员，主要研究方向为人工智能、物联网。
  程传慧（1979- ），女，博士，中南财经政法大学信息工程学院副教授，主要研究方向为人工智能。
- 基金信息：
  
  浙江省尖兵领雁项目(2023C01025);浙江省全省敏感数据安全保护与保密治理重点实验室项目(2024E10048)
- DOI：10.11959/j.issn.1000-0801.DXKX250636
  中图分类号： TP393.08;TN918.1
- 收稿：2025-10-30，
  
  修回：2025-12-23，
  
  录用：2025-12-25，
  
  纸质出版：2026-05-20
- 稿件说明：
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郑秋华,孙振宇,章坚武等.ARDR：融合自适应选择与证据推理的拟态防御鲁棒决策架构[J].电信科学,2026,42(05):30-47.

Zheng Qiuhua,Sun Zhenyu,Zhang Jianwu,et al.ARDR: an adaptive service selection and robust decision framework for heterogeneous executor[J].Telecommunications Science,2026,42(05):30-47.
郑秋华,孙振宇,章坚武等.ARDR：融合自适应选择与证据推理的拟态防御鲁棒决策架构[J].电信科学,2026,42(05):30-47. DOI： 10.11959/j.issn.1000-0801.DXKX250636.

Zheng Qiuhua,Sun Zhenyu,Zhang Jianwu,et al.ARDR: an adaptive service selection and robust decision framework for heterogeneous executor[J].Telecommunications Science,2026,42(05):30-47. DOI： 10.11959/j.issn.1000-0801.DXKX250636.

摘要

动态异构冗余（dynamic heterogeneous redundancy，DHR）架构虽能增强系统弹性与容错，但基于多数表决的决策机制难以处理异构信息源的质量差异与潜在冲突，在关键安全场景中易导致性能下降或误判。为此，提出一种自适应与鲁棒决策冗余（adaptive & robust decision redundancy，ARDR）架构，通过自适应服务选择与基于证据的鲁棒裁决，实现对异构执行体输出的系统化评估与融合。ARDR构建综合评估模型，结合执行体异构性、历史性能、置信度及效率，利用鲸鱼优化算法选取最优组合；随后基于Dempster-Shafer理论设计高冲突感知裁决框架处理不确定性。拟态Web应用防火墙原型及多场景仿真实验结果表明，ARDR在准确率、F2值及平均执行时间上均优于传统动态异构冗余及防御增强型动态异构冗余（improved dynamic heterogeneous redundancy，IDHR）架构，尤其在高冗余与高冲突条件下性能稳定。消融实验进一步证明其自适应选择与鲁棒裁决的协同效应，为异构高不确定性环境下冗余系统设计提供可解释的高效方案。

Abstract

Dynamic heterogeneous redundancy (DHR) architectures enhance system resilience but majority-voting decisions struggle with heterogeneous source quality and potential conflicts

leading to performance drops or misjudgments in critical security scenarios. The adaptive and robust decision redundancy (ARDR) architecture was presented

which combined adaptive service selection with evidence-based robust decision-making to systematically evaluate and fuse heterogeneous executor outputs. ARDR employed a comprehensive evaluation model considering executor heterogeneity

historical performance

confidence

and efficiency

using the whale optimization Algorithm to select optimal combinations

and a dempster-shafer-based high-conflict-aware framework to handle uncertainty. Prototype and multi-scenario simulations show that ARDR outperforms conventional DHR and improved dynamic heterogeneous redundancy (IDHR) in accuracy

F2-score

and execution time

especially under high redundancy and conflict

with ablation studies confirming the synergy of adaptive selection and robust decision-making. The ablation study provides an interpretable and efficient solution for redundancy system design in heterogeneous

high-uncertainty environments.

关键词

Keywords

references

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