Abstract: A system and method for determining human keystrokes in a secure shell (SSH) session from SSH session data traffic provides insight and evidence of an intrusion into a computer network. In one embodiment, the presence of human keystroke(s) in an SSH session may be inferred using a sensor appliance. In one embodiment, the SSH data traffic is encoded in a vector, one or more communication patterns are identified in the vector and the presence of human keystrokes may be inferred from the one or more communication patterns.
Abstract: A system and method for traffic classification using snippets and on-the-fly traffic classifiers can build traffic classifiers that leverage interpretable feature sets without the need to inspect payloads—ensuring functionality across clear-text and encrypted flows. In one embodiment, the system identifies n-grams (“snippets”) in a network flow's sequence-of-message-lengths that are strongly indicative of a given class of traffic and predicts a network flow's class by assessing the presence of snippets relevant to different classes.
Abstract: A system and method for traffic classification using snippets and on-the-fly traffic classifiers can build traffic classifiers that leverage interpretable feature sets without the need to inspect payloads—ensuring functionality across clear-text and encrypted flows. In one embodiment, the system identifies n-grams (“snippets”) in a network flow's sequence-of-message-lengths that are strongly indicative of a given class of traffic and predicts a network flow's class by assessing the presence of snippets relevant to different classes.
Abstract: A system and method for inferring a secure shell (SSH) authentication method from SSH session data traffic overcomes the problems with host logs. In one embodiment, the SSH authentication method may be inferred using a sensor appliance. In one embodiment, the SSH data traffic is encoded in a vector, one or more communication patterns are identified in the vector and the SSH authentication method is inferred from the one or more communication patterns.
Abstract: A system and method for determining human keystrokes in a secure shell (SSH) session from SSH session data traffic provides insight and evidence of an intrusion into a computer network. In one embodiment, the presence of human keystroke(s) in an SSH session may be inferred using a sensor appliance. In one embodiment, the SSH data traffic is encoded in a vector, one or more communication patterns are identified in the vector and the presence of human keystrokes may be inferred from the one or more communication patterns.
Abstract: A system and method for traffic classification using snippets and on-the-fly traffic classifiers can build traffic classifiers that leverage interpretable feature sets without the need to inspect payloads—ensuring functionality across clear-text and encrypted flows. In one embodiment, the system identifies n-grams (“snippets”) in a network flow's sequence-of-message-lengths that are strongly indicative of a given class of traffic and predicts a network flow's class by assessing the presence of snippets relevant to different classes.