The embodiment of the invention relates to the technical field of traffic flow prediction, and provides a traffic flow escape attack identification method and a related device, and the method comprises the steps: obtaining historical traffic network flow data and real-time traffic network flow data; determining first self-attention weight distribution according to the historical traffic network flow data; determining second self-attention weight distribution according to the real-time traffic network flow data; and according to the first self-attention weight distribution and the second self-attention weight distribution, determining an escape attack identification result of the real-time traffic network flow data, and according to the difference between the real-time flow data and normal historical flow data in the self-attention weight, determining the escape attack identification result of the real-time traffic network flow data. Therefore, the behavior that an attacker tries to use abnormal data to disturb model decision making is identified, escape attacks are accurately identified, and the accuracy of traffic flow prediction is improved.
本申请实施例涉及交通流预测技术领域,提供一种交通流量逃逸攻击的识别方法及相关装置,所述方法包括:获取历史交通网络流量数据和实时交通网络流量数据;根据所述历史交通网络流量数据,确定第一自注意力权重分布;根据所述实时交通网络流量数据,确定第二自注意力权重分布;根据所述第一自注意力权重分布和第二自注意力权重分布,确定所述实时交通网络流量数据的逃逸攻击识别结果,能够根据实时流量数据与正常历史流量数据在自注意力权重的差距,以此识别出攻击者试图利用异常数据扰乱模型决策的行为,以此精准识别逃逸攻击,提高交通流量预测的精准度。
Traffic flow escape attack identification method and related device
交通流量逃逸攻击的识别方法及相关装置
2025-05-30
Patent
Electronic Resource
Chinese
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