1. A computer-based method for detecting anomalies in the traffic passing through an internet protocol (IP) network, said method comprising: 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.