发明名称 Method and apparatus for examining network traffic and automatically detecting anomalous activity to secure a computer
摘要 A method and apparatus for examining network traffic and automatically detecting anomalous activity to secure a computer is described. In one embodiment, the method includes examining network traffic that is directed to at least one endpoint computer, accessing profile information associated with the at least one endpoint computer to determine confidence indicia associated with each portion of the network traffic, comparing the confidence indicia with heuristic information to identify anomalous activity for the at least one endpoint computer and communicating indicia of detection as to the anomalous activity to the at least one endpoint computer.
申请公布号 US8789174(B1) 申请公布日期 2014.07.22
申请号 US201012798854 申请日期 2010.04.13
申请人 Symantec Corporation 发明人 Gupta Prashant
分类号 G06F11/30 主分类号 G06F11/30
代理机构 Wilmer Cutler Pickering Hale and Dorr LLP 代理人 Wilmer Cutler Pickering Hale and Dorr LLP
主权项 1. A method for using one or more processors automatically detecting anomalous activity in memory to secure a computer, comprising: examining at least one data segment of network traffic that is directed to at least one endpoint computer wherein examining network traffic comprises generating profile information for each of the at least one endpoint computer and wherein generating profile information comprises: extracting features from the at least one data segment of network traffic;defining file groupings based on the extracted features;classifying the at least one data segment of network traffic into the file groupings using the extracted features; andassigning confidence values to the file groupings; accessing the profile information associated with the at least one endpoint computer, wherein the profile information indicates characteristics of non-anomalous network traffic; computing confidence indicia for the at least one data segment of network traffic, wherein the confidence indicia are computed based on the accessed profile information and at least a portion of the at least one data segment of network traffic; comparing the confidence indicia with heuristic information to identify anomalous network activity for the at least one endpoint computer; and communicating indicia of detection as to the anomalous activity to the at least one endpoint computer.
地址 Mountain View CA US