首页> 外国专利> Real-Time Detection of Abnormal Network Connections in Streaming Data

Real-Time Detection of Abnormal Network Connections in Streaming Data

机译:实时检测流数据中的异常网络连接

摘要

Methods and systems for detecting anomalous network activity include determining whether a network event exists within an existing topology graph and port graph. A connection probability for the network event is determined if the network does not exist within the existing topology graph and port graph. The network event is identified as abnormal if the connection probability is below a threshold.
机译:用于检测异常网络活动的方法和系统包括确定在现有拓扑图和端口图内是否存在网络事件。如果网络在现有拓扑图和端口图中不存在,则确定网络事件的连接概率。如果连接概率低于阈值,则将网络事件标识为异常。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号