基于免疫系统控制机理的仿生安全模型研究

李涛; 王昕皖; 胡爱群

doi:10.11959/j.issn.2096-109x.2025017

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基于免疫系统控制机理的仿生安全模型研究

学术论文 | 更新时间：2025-05-14

- 基于免疫系统控制机理的仿生安全模型研究
- Biomimetic security model based on immune system control mechanism
- 网络与信息安全学报 2025年11卷第2期页码：50-60
- 作者机构：
  
  东南大学网络空间安全学院，江苏南京 210000
- 作者简介：
  
  [ "李涛（1984- ），男，江苏镇江人，博士，东南大学副教授，主要研究方向为内生安全、信息系统安全。" ]
  [ "王昕皖（1999- ），女，安徽合肥人，东南大学硕士生，主要研究方向为内生安全、信息系统安全。" ]
  [ "胡爱群（1964- ），男，江苏南通人，博士，东南大学教授、博士生导师，主要研究方向为内生安全、信息系统安全。" ]
- 基金信息：
  
  东南大学移动信息通信与安全前沿科学中心项目(2242022k30007)
- DOI：10.11959/j.issn.2096-109x.2025017
  中图分类号： TP393
- 收稿：2024-09-12，
  
  修回：2015-01-08，
  
  纸质出版：2025-04-25
- 稿件说明：
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李涛, 王昕皖, 胡爱群. 基于免疫系统控制机理的仿生安全模型研究[J]. 网络与信息安全学报, 2025, 11(2): 50-60.

LI T, WANG X W, HU A Q. Biomimetic security model based on immunesystem control mechanism[J]. Chinese Journal of Network and Information Security, 2025, 11(2): 50-60.
李涛, 王昕皖, 胡爱群. 基于免疫系统控制机理的仿生安全模型研究[J]. 网络与信息安全学报, 2025, 11(2): 50-60. DOI： 10.11959/j.issn.2096-109x.2025017.

LI T, WANG X W, HU A Q. Biomimetic security model based on immunesystem control mechanism[J]. Chinese Journal of Network and Information Security, 2025, 11(2): 50-60. DOI： 10.11959/j.issn.2096-109x.2025017.

摘要

随着信息系统架构的日益复杂，传统的外壳式防御弊端逐渐显现，主要表现为集中于外部边界的防御难以应对渗透网络内部的威胁和新型未知的高级威胁、边界被攻破易出现单点故障、缺乏综合性和全面性的安全保障。要从根本上解决这些问题，需要变被动为主动，采取更多层次和更综合的防御策略。基于免疫系统控制机理的仿生安全模型被提出，其基于人体免疫系统的控制机理，借鉴分布于人体各处的树突状免疫细胞捕获病原体、遍布于人体结构的血管以血液承载信息实现信息的传递与互通、具有中枢效应的淋巴系统综合处理和分析信息并进行决策，构建具有自主防御功能的系统。以任务为导向，将系统划分为任务组件、转发组件和分布式控制组件3部分，并实现各部分的高度链接与融合。调用任务组件执行基本任务，在执行过程中感知并提取安全数据。安全数据经转发组件初步处理和判断后，被转发至控制组件。控制组件基于安全决策树生成决策进行校准，从而实现针对异常情况的主动防御。实验结果表明，此模型对系统异常攻击的防御成功率达98.9%，并基本实现仿生免疫模型从捕获、提呈、传递、分析、决策到效应的全链路机制。

Abstract

The limitations of traditional perimeter-based defense mechanisms have gradually become apparent as information system architectures have become increasingly complex

with defense concentrated on the external boundary becoming difficult to deal with threats that penetrate into the network interior

new and unknown advanced threats

the breach of the boundary being prone to a single point of failure

and a lack of comprehensive and all-round security guarantees. A biomimetic security model based on the control mechanisms of the immune system was proposed to address these problems. The model was designed to achieve information learning by mimicking the functions of dendritic immune cells distributed throughout the human body to capture pathogens

the blood vessels that carry information transmission and intercommunication

and the lymphatic system that comprehensively analyzes and processes information and makes decisions. A system with autonomous defense functions was thus built. Task-oriented

the system was divided into three components: task component

forwarding component

and distributed control component

with all parts being highly interconnected and integrated. The task component was designed to perform basic tasks and extract security information during execution. The security information was initially processed and judged by the forwarding component and then forwarded to the control component. The control component generated decisions based on the security decision tree for calibration

thereby achieving active defense against abnormal situations. The experimental results showed that the success rate of the proposed model in defending against system anomaly attacks reached 98.9%. Furthermore

the model fundamentally realized the full-chain mechanism of the biomimetic immune model

from capture

presentation

and transmission to analysis

decision-making

and effectuation.

关键词

Keywords

references

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