数字双胞胎通信中的网络攻击检测数据速率监控方法
Cláudio Rodrigues1,2, Waldir S S Júnior2, Wilson Oliveira3
1Conecthus Institute-Technology and Biotechnology of Amazonas, Manaus 69075-000, Brazil.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
工业4.0中的数字双胞胎 (DTs) 是脆弱的. 简单的DT通信数据速率的统计监测提供了有效的,具有成本效益的第一防御DoS和MiTM等网络攻击.
科学领域:
- 工业物联网 (IIoT) 中的网络安全
- 数字双胞胎技术是数字双胞胎技术.
- 工业4.0安全性 工业4.0安全性
背景情况:
- 工业4.0环境中的数字双胞胎 (DTs) 存在重大网络安全风险.
- 现有的安全解决方案往往复杂且资源密集.
- 物理-虚拟通信层是一个关键的漏洞点.
研究的目的:
- 展示DT通信的计算效率高的异常检测方法.
- 验证用于识别网络威胁的简单统计指标的有效性.
- 增强基于IIoT的数据技术对网络攻击的弹性.
主要方法:
- 利用基于Docker的模拟来模拟网络攻击.
- 模拟拒绝服务 (DoS),中间人 (MiTM) 和入侵攻击.
- 应用统计指标,特别是μ+3σ值,用于基于数据速率监控的异常检测.
主要成果:
- 每种攻击类型都会产生独特的统计签名.
- 在DoS攻击期间,数据包速率增加了50倍.
- 数据速率监控被证明是一个可行的异常检测方法.
结论:
- 简单的统计指标为DT通信提供了强大,可解释和高效的异常检测.
- 数据速率监控作为一个经济有效的,非侵入性的第一道防线.
- 这种方法提高了基于IIoT的数字双胞胎的整体网络安全态度.
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