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English(EN) Digital Twin-Based Intrusion Detection for Vehicle Powertrain CAN Bus Systems

数字孪生IDS检测车辆中的隐蔽CAN总线攻击

研究人员开发了一种新颖的基于数字孪生的车辆动力总成CAN总线系统入侵检测系统(IDS)。该系统模拟动力总成信号之间的物理关系,以预测行为并识别操纵数据负载但保持正常通信模式的攻击。该数字孪生使用共享编码器LSTM在Hyundai/Kia CAN日志上进行训练,其性能优于传统的范围和合理性基线,尤其在检测隐蔽的负载攻击方面。 AI

影响 这项研究通过实现对复杂隐蔽攻击的检测,有望提高联网汽车的鲁棒性网络安全。

排序理由 详细介绍一种新的入侵检测方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

数字孪生IDS检测车辆中的隐蔽CAN总线攻击

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详细介绍一种新的入侵检测方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Araf Rahman, M Sabbir Salek, Mashrur Chowdhury ·

    基于数字孪生的车辆动力总成CAN总线系统入侵检测

    arXiv:2608.17093v1 Announce Type: cross Abstract: Existing automotive intrusion detection systems (IDSs) for the Controller Area Network (CAN) largely target discrepancies in message timing, frequency, or sequencing and cannot detect attacks that preserve these properties while m…