Abstract: A system and method for detecting malicious relay communications is disclosed. Network communications can be received and analyzed using such network components as a network switch. The received traffic can be parsed into sessions. Relay metadata can be extracted from the sessions and further be used to categorize the sessions into one or more types of relay metadata behaviors. Once a significant amount of sessions are detected an alarm may be triggered and/or alarm data may be generated for analysis by network security administrators.

Abstract: Approaches for detecting network intrusions, such as malware infection, Trojans, worms, or bot net mining activities includes: identifying one or more threat detections in session datasets, the session datasets corresponding to network traffic from a plurality of hosts; determining a layered detection score, the layered detection score corresponding to a certainty score and threat score; determining a layered host score, the layered host score corresponding to a certainty score and threat score; and generating alarm data comprising the layered detection score and the layered host score. In some embodiments, the network traffic may be received passively through a network switch; for example, by “tapping” the switch. Other additional objects, features, and advantages of the invention are described in the detailed description, figures and claims.

Abstract: A detection engine may be implemented by receiving network traffic and processing the traffic into one or more session datasets. Sessions not initiated by an internal host may be discarded. The frequency between the communication packets from the internal host to external host may be grouped or processed into rapid-exchange instances. The number of rapid-exchange instances, the time intervals between them, and/or the rhythm and directions of the initiation of the instances may be analyzed to determine that a human actor is manually controlling the external host. In some embodiments, when it is determined that only one human actor is involved, alarm data may be generated that indicates that a network intrusion involving manual remote control has occurred or is underway.

Abstract: Approaches for detecting network intrusions, such as malware infection, Trojans, worms, or bot net mining activities includes: identifying one or more threat detections in session datasets, the session datasets corresponding to network traffic from a plurality of hosts; determining a layered detection score, the layered detection score corresponding to a certainty score and threat score; determining a layered host score, the layered host score corresponding to a certainty score and threat score; and generating alarm data comprising the layered detection score and the layered host score. In some embodiments, the network traffic may be received passively through a network switch; for example, by “tapping” the switch. Other additional objects, features, and advantages of the invention are described in the detailed description, figures and claims.

Abstract: A system and method for detecting malicious relay communications is disclosed. Network communications can be received and analyzed using such network components as a network switch. The received traffic can be parsed into sessions. Relay metadata can be extracted from the sessions and further be used to categorize the sessions into one or more types of relay metadata behaviors. Once a significant amount of sessions are detected an alarm may be triggered and/or alarm data may be generated for analysis by network security administrators.

Abstract: A detection engine may be implemented by receiving network traffic and processing the traffic into one or more session datasets. Sessions not initiated by an internal host may be discarded. The frequency between the communication packets from the internal host to external host may be grouped or processed into rapid-exchange instances. The number of rapid-exchange instances, the time intervals between them, and/or the rhythm and directions of the initiation of the instances may be analyzed to determine that a human actor is manually controlling the external host. In some embodiments, when it is determined that only one human actor is involved, alarm data may be generated that indicates that a network intrusion involving manual remote control has occurred or is underway.

Abstract: An information extraction system and methods of operating the system are provided. In particular, an information extraction system for performing meta-extraction of named entities of people, organizations, and locations as well as relationships and events from text documents are described herein.

Abstract: An information extraction system and methods of operating the system are provided. In particular, an information extraction system for performing meta-extraction of named entities of people, organizations, and locations as well as relationships and events from text documents are described herein.