Abstract: Systems and methods for analyzing historical network traffic and determining which traffic does not belong in a network are disclosed. Intrusion detection is performed over a period of time, looking for behavioral patterns within networks or information systems and generating alerts when these patterns change. The intrusion detection system intelligently forms correlations between disparate sources to find traffic anomalies. Over time, behaviors are predictive, and the intrusion detection system attempts to predict outcomes, becoming proactive instead of just reactive. Intrusions occur throughout whole information systems, including both network infrastructure and application servers. By treating the information system as a whole and performing intrusion detection across it, the chances of detection are increased significantly.

Abstract: Systems and methods for analyzing historical network traffic and determining which traffic does not belong in a network are disclosed. Intrusion detection is performed over a period of time, looking for behavioral patterns within networks or information systems and generating alerts when these patterns change. The intrusion detection system intelligently forms correlations between disparate sources to find traffic anomalies. Over time, behaviors are predictive, and the intrusion detection system attempts to predict outcomes, becoming proactive instead of just reactive. Intrusions occur throughout whole information systems, including both network infrastructure and application servers. By treating the information system as a whole and performing intrusion detection across it, the chances of detection are increased significantly.

Abstract: Systems and methods for analyzing historical network traffic and determining which traffic does not belong in a network are disclosed. Intrusion detection is performed over a period of time, looking for behavioral patterns within networks or information systems and generating alerts when these patterns change. The intrusion detection system intelligently forms correlations between disparate sources to find traffic anomalies. Over time, behaviors are predictive, and the intrusion detection system attempts to predict outcomes, becoming proactive instead of just reactive. Intrusions occur throughout whole information systems, including both network infrastructure and application servers. By treating the information system as a whole and performing intrusion detection across it, the chances of detection are increased significantly.

Abstract: Systems and methods for analyzing historical network traffic and determining which traffic does not belong in a network are disclosed. Intrusion detection is performed over a period of time, looking for behavioral patterns within networks or information systems and generating alerts when these patterns change. The intrusion detection system intelligently forms correlations between disparate sources to find traffic anomalies. Over time, behaviors are predictive, and the intrusion detection system attempts to predict outcomes, becoming proactive instead of just reactive. Intrusions occur throughout whole information systems, including both network infrastructure and application servers. By treating the information system as a whole and performing intrusion detection across it, the chances of detection are increased significantly.