PATH SCANNING FOR THE DETECTION OF ANOMALOUS SUBGRAPHS, ANOMALY/CHANGE DETECTION AND NETWORK SITUATIONAL AWARENESS

A computer-implemented method (600), comprising:collecting (620) data, by a computing system (102), from a plurality of host agents pertaining to network communications sent and received by respective hosts in a network;analyzing (630), by the computing system, the collected data to detect anomalous...

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Bibliographische Detailangaben
Hauptverfasser: NEIL, JOSHUA, CHARLES, BRUGH, ALEXANDER, WILLIAM, KENT, ALEXANDER, STORLIE, CURTIS, BYRON, UPHOFF, BENJAMIN, HASH, CURTIS, LEE, JR, FISK, MICHAEL, EDWARD
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:A computer-implemented method (600), comprising:collecting (620) data, by a computing system (102), from a plurality of host agents pertaining to network communications sent and received by respective hosts in a network;analyzing (630), by the computing system, the collected data to detect anomalous behavior during a predetermined time period by applying a statistical model to a plurality of-paths in a graph on a sliding window basis; andwhen anomalous behavior is detected, providing (660), by the computing system (102), an indication that the anomalous behavior occurred during the predetermined time period.