Abstract: Ordering partial network traffic. In an embodiment, data packets are received from a network tap and separated into two queues. For each queue, a push-sequence is maintained to represent a sequence number that must be pushed in order to maintain a consecutive order. When both push-sequences are equal to the sequence number of their first packets, if the acknowledgement number of the first packet on one queue is greater than the push-sequence for the other queue and less than or equal to the push-sequence of the one queue, data is pushed off the other queue. Otherwise, a queue having the earlier timestamp is identified as a first queue, the existence of a next acknowledgement number is determined for the second (other) queue, and data is pushed off the first queue according to the existence of the next acknowledgement number. Gap packets may be generated to force progress.

Abstract: Systems, methods, and computer-readable media for detecting threats on a network. In an embodiment, target network traffic being transmitted between two or more hosts is captured. The target network traffic comprises a plurality of packets, which are assembled into one or more messages. The assembled message(s) may be parsed to generate a semantic model of the target network traffic. The semantic model may comprise representation(s) of operation(s) or event(s) represented by the message(s). Score(s) for the operation(s) or event(s) may be generated using a plurality of scoring algorithms, and potential threats among the operation(s) or event(s) may be identified using the score(s).

Abstract: Systems and methods for generating a semantic description of operations between network agents. In an embodiment, packet-level traffic between two or more network agents is captured. The packet-level traffic is bundled into one or more messages, wherein each message comprises one or more elements. For each of the messages, the elements of the message are matched to one or more attributes, and the message is decoded into message data based on the matched attributes. The message data is then used to generate a semantic description of operations between the network agents.

Abstract: Systems, methods, and computer-readable media for detecting threats on a network. In an embodiment, target network traffic being transmitted between two or more hosts is captured. The target network traffic comprises a plurality of packets, which are assembled into one or more messages. The assembled message(s) may be parsed to generate a semantic model of the target network traffic. The semantic model may comprise representation(s) of operation(s) or event(s) represented by the message(s). Score(s) for the operation(s) or event(s) may be generated using a plurality of scoring algorithms, and potential threats among the operation(s) or event(s) may be identified using the score(s).

Abstract: Systems and methods for generating a semantic description of operations between network agents. In an embodiment, packet-level traffic between two or more network agents is captured. The packet-level traffic is bundled into one or more messages, wherein each message comprises one or more elements. For each of the messages, the elements of the message are matched to one or more attributes, and the message is decoded into message data based on the matched attributes. The message data is then used to generate a semantic description of operations between the network agents.