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English(EN) MIDS: Detecting Stealthy Masquerade and Tampering Attacks on CAN Bus via Bidirectional Mamba

新的基于Mamba的系统可检测汽车CAN总线上的隐蔽攻击

研究人员开发了一种名为Mamba入侵检测系统(MIDS)的新型入侵检测系统,专门用于对抗车辆控制器局域网(CAN)总线上的隐蔽伪装和篡改攻击。与专注于更简单攻击的现有系统不同,MIDS利用双向选择性状态空间模型并行分析CAN标识符和有效载荷,重建其联合时间语义。MIDS在真实的Tesla Model 3和四个公开基准上进行了测试,取得了高F1分数,显著优于现有方法,并展示了其在车载实时部署的能力。 AI

影响 通过为车辆网络上复杂的内部威胁提供更强大的防御能力,增强了汽车网络安全。

排序理由 详细介绍新型汽车安全系统的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的基于Mamba的系统可检测汽车CAN总线上的隐蔽攻击

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详细介绍新型汽车安全系统的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Qiqi Liu, Runhan Song, Lei Cui, Heng Zhang, Yuyan Sun, Limin Sun ·

    MIDS:通过双向Mamba检测CAN总线上的隐蔽伪装和篡改攻击

    arXiv:2606.18599v1 Announce Type: cross Abstract: The Controller Area Network (CAN) protocol is the primary communication standard for Electronic Control Units (ECUs) in modern vehicles, but its lack of encryption and authentication exposes it to a range of security threats. Exis…