| 摘要 |
The present invention is a method for analyzing large volumes of network information for the purpose of identifying particular patterns of behavior in a plurality of connections. It enables identifying unique digital fingerprints of particular users, be it individuals, groups or organizations, and tracks their activities in large scale information networks such as corporate wide area networks or the public internet despite attempts on the part of the users to hide their identity. By recognizing unique identifiers and distinguishing patterns of behavior the method may differentiate between different users all using a single connection, or identify a single entity across multiple connections. The method may be applicable for tracking hostile entities inside an organizational network. Advertisers may uniquely and anonymously track the activities of users. The method may also be used to track and identify suspicious activities by law enforcement agencies via lawful interception of network data.
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