信息网络安全

信息网络安全 ›› 2026, Vol. 26 ›› Issue (1): 69-78.doi: 10.3969/j.issn.1671-1122.2026.01.006

• 专题论文：网络主动防御 • 上一篇    下一篇

基于博弈论的地址跳变系统时间策略研究

张慎明1, 梁金洁2, 许新桥2(), 冯戈2, 邹添华2, 胡志林2   

  1. 1.中国科学院大学网络空间安全学院，北京 100049
    2.国家林业和草原局信息中心，北京 100714
  • 收稿日期:2025-08-06 出版日期:2026-01-10 发布日期:2026-02-13
  • 通讯作者: 许新桥 341802378@qq.com
  • 作者简介:张慎明（1999—），男，山东，硕士研究生，主要研究方向为移动目标防御|梁金洁（1993—），女，山西，工程师，硕士，主要研究方向为林草信息化、数据处理|许新桥（1972—），男，山东，正高级工程师，博士，主要研究方向为林草信息化|冯戈（1987—），女，陕西，高级工程师，硕士，主要研究方向为网络安全、数据治理|邹添华（1998—），男，安徽，助理工程师，本科，主要研究方向为网络安全、信息系统管理|胡志林（1997—），男，河南，助理研究员，硕士，主要研究方向为林草信息化建设与管理

Research on Time Strategy of IP Hopping System Based on Game Theory

ZHANG Shenming1, LIANG Jinjie2, XU Xinqiao2(), FENG Ge2, ZOU Tianhua2, HU Zhilin2   

  1. 1. School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100049, China
    2. Information Center, National Forestry and Grassland Administration, Beijing 100714, China
  • Received:2025-08-06 Online:2026-01-10 Published:2026-02-13

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摘要：

文章旨在探究移动目标防御中地址跳变系统的最优时间策略，针对网络攻防非对称性问题，提出基于博弈论的动态防御决策模型。研究围绕周期性、事件驱动和混合驱动3种地址跳变策略展开，量化其防御收益并比较策略选择效果。通过构建单阶段完全信息零和博弈模型，推导出各策略对应的防御成功概率、跳变次数与收益函数，并采用无因次化方法对跳变成本比、防御失败损失比、攻击频率等关键参数进行实验分析。实验结果表明，混合驱动策略在多数场景下防御收益较高，但在高跳变成本比或高防御失败损失比条件下，周期性策略更具优势。文章为移动目标防御时间策略的优化选择提供了理论依据，揭示了攻防参数耦合效应对策略决策的影响机制，提升了动态防御系统的自适应能力。

关键词: 移动目标防御, 博弈论, 地址跳变, 时间策略

Abstract:

This article aimed to explore the optimal time strategy for address hopping systems in moving target defense, and proposed a dynamic defense decision model based on game theory to address the asymmetry problem in network attack and defense. The research focused on three address hopping strategies: periodic, event driven, and hybrid driven, quantifying their defense benefits and comparing the effectiveness of strategy selection. By constructing a single-stage complete information zero sum game model, the defense success probability, jump frequency, and benefit function of different strategies were derived. The dimensionless method was used to experimentally analyze key parameters such as jump cost ratio, defense failure loss ratio, attack frequency. The results indicate that the Mixed strategy has the highest defense benefits in most scenarios, but the Fixed strategy has a greater advantage in high jump cost ratios or high defense failure loss ratios. This study provides a theoretical basis for the optimization selection of moving target defense time strategy, revealing the impact mechanism of the coupling effect of attack and defense parameters on strategy decision-making, thereby enhancing the adaptive ability of dynamic defense systems.

Key words: moving target defense, game theory, IP hopping, time strategy

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