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双胞胎FedPot:蜜蜂智能蒸成数字双胞胎,用于持续的智能交通安全

Yesin Sahraoui¹, Abdessalam Mohammed Hadjkouider², Chaker Abdelaziz Kerrache³

¹Intelligent Systems Engineering Department (ISE), National Higher School of Artificial Intelligence (ENSIA), Algiers 16000, Algeria.

Sensors (Basel, Switzerland)

|August 14, 2025

概括

TwinFedPot 通过使用数字双胞胎和 honeypots 来增强智能城市交通安全,用于自适应性网络威胁检测. 这种新的方法提高了智能交通系统的准确性和稳定性.

科学领域:

网络安全网络安全
人工智能的人工智能
智慧城市基础设施智慧城市基础设施

背景情况:

智能城市的智能交通系统 (ITS) 面临着巨大的网络安全挑战,原因是动态的,敌对的网络物理环境.
与ITS集成的数字双胞胎 (DTs) 的保护对于可靠的实时管理至关重要,但仍然很困难.
现有的安全解决方案往往与复杂的城市基础设施中威胁的适应性质作斗争.

研究的目的:

提出TwinFedPot,一个创新的基于数字双胞胎的安全架构,用于在ITS中进行强大和适应性的网络威胁检测.
开发一个框架,使得有效的威胁检测,而不需要先前的攻击数据 (零射击学习).
加强智能交通基础设施的安全和隐私,以应对不断变化的网络威胁.

主要方法:

实现了一种新的架构,将数字双胞胎 (DTs) 与蜂驱动的数据收集和零射击学习 (ZSL) 结合起来.
使用反向联合蒸 (IFD) 来训练中央DT服务器,边缘 honeypots 发送语义预测 (软逻辑) 而不是原始数据.
逆转了传统的联合学习知识流,将集体智能从蜜蒸成一个中央教师模型.

主要成果:

与传统方法相比,在网络威胁检测准确度和F1得分方面取得了显著的改进.
展示了使用有限数据有效地学习通用攻击模式的能力.
为智能交通基础设施验证了框架的可扩展性和稳定性.

结论:

TwinFedPot提供了一个可扩展和有效的防御解决方案,用于在智能交通系统中保护数字双胞胎.
拟议的架构通过实现适应性威胁检测和保护数据隐私来增强网络安全.
这种方法在保护智能城市基础设施免受网络攻击方面取得了重大进展.

关键词:

汽车的互联网 (IoV)零射击学习的学习网络安全网络安全数字双胞胎数字双胞胎是什么意思联合蒸的联合蒸蜂蜜盆是什么意思蜂蜜盆是什么意思

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