ATTACK MITIGATION USING LEARNING MACHINES
    102.
    发明申请
    ATTACK MITIGATION USING LEARNING MACHINES 有权
    使用学习机器进行攻击减轻

    公开(公告)号:US20150188935A1

    公开(公告)日:2015-07-02

    申请号:US14165424

    申请日:2014-01-27

    Abstract: In one embodiment, techniques are shown and described relating to attack mitigation using learning machines. A node may receive network traffic data for a computer network, and then predict a probability that one or more nodes are under attack based on the network traffic data. The node may then decide to mitigate a predicted attack by instructing nodes to forward network traffic on an alternative route without altering an existing routing topology of the computer network to reroute network communication around the one or more nodes under attack, and in response, the node may communicate an attack notification message to the one or more nodes under attack.

    Abstract translation: 在一个实施例中,与使用学习机器的攻击缓解有关的技术被示出和描述。 节点可以接收计算机网络的网络流量数据,然后基于网络流量数据预测一个或多个节点受到攻击的概率。 然后,节点可以通过指示节点在替代路由上转发网络流量而不改变计算机网络的现有路由拓扑以重新路由在被攻击的一个或多个节点周围的网络通信,并且响应于节点 可以将攻击通知消息传送给被攻击的一个或多个节点。

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