SYSTEMS AND METHODS FOR INTRUSION DETECTION USING FEDERATED LEARNING

    公开(公告)号:US20240244064A1

    公开(公告)日:2024-07-18

    申请号:US18411856

    申请日:2024-01-12

    IPC分类号: H04L9/40 H04L41/16

    CPC分类号: H04L63/1416 H04L41/16

    摘要: Methods and systems for intrusion detection using federated learning. In some examples, a system includes a central server configured for generating an initial security model and distributing the initial security model to edge nodes. Each edge node is configured for executing an intrusion detection system. The system includes a first subset of edge nodes each of which is configured for training a respective local security model using captured security data during live operation. The system includes a second subset of edge nodes each of which is not configured for training a local security model. The system includes fog nodes, each fog node being on a communications path between at least one edge node and the central server. At least a first fog node is configured for training a respective local security model for one or more of the edge nodes from the second subset of edge nodes.