专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08474041B2 Autonomous diagnosis and mitigation of network anomalies 有权
标题翻译：网络异常的自主诊断和减轻
公开(公告)号：US08474041B2
公开(公告)日：2013-06-25
申请号：US12765772
申请日：2010-04-22
申请人： Anand Eswaran , Chivukula Koundinya
发明人： Anand Eswaran , Chivukula Koundinya
IPC分类号： G06F11/00
CPC分类号： H04L63/1416 , H04L41/0213
摘要： Autonomous diagnosis and mitigation of network anomalies may include creating a plurality of sketch matrices wherein each sketch matrix corresponds to an individual hashing function and each row in each sketch matrix corresponds to an array of hashed parameters of interest from multiple network devices for a given period of time, the parameters of interest being configurable by an administrator. A principal components analysis (PCA) input matrix is created for each of the sketch matrices by computing an entropy value for each element in the sketch matrices, and principal components analysis (PCA) is performed on each of the PCA input matrices to heuristically detect a network anomaly in real time.
摘要翻译：网络异常的自主诊断和减轻可以包括创建多个草图矩阵，其中每个草图矩阵对应于单个散列函数，并且每个草图矩阵中的每一行对应于来自多个网络设备的给定周期的感兴趣的散列参数的阵列时间，感兴趣的参数可由管理员配置。通过计算草图矩阵中每个元素的熵值，为每个草图矩阵创建主成分分析（PCA）输入矩阵，并对每个PCA输入矩阵执行主成分分析（PCA），以启发式地检测网络异常实时。

IPRDB

热门服务

关于我们

友情链接

联系方式