| 摘要 |
A computer-based method for detecting anomalies in the traffic passing through an internet protocol (IP) network is described. The method includes extracting, from a database, a single instance of each unique packet header associated with a plurality of IP-to-IP packets, the IP-to-IP packets having been transmitted across the IP network over a predefined period of time, analyzing the packet headers to identify anomalous conversations based on at least one of a conversation uniqueness, a time of week uniqueness, and a data quantity uniqueness, and providing alerts corresponding to detected anomalous conversations.
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