Cisco Systems, Inc.
Generating a vector representative of user behavior in a network

Abstract:

Presented herein are techniques for classifying devices as being infected with malware based on learned indicators of compromise. A method includes receiving, at a security analysis device, a set of feature vectors extracted from one or more flows of traffic to domains for a given user in a network during a period of time. The security analysis device analyzes the feature vectors included in the set of feature vectors with a set of operators to generate a set of per-flow vectors for the given user. Based on the set of per-flow vectors for the user, the security analysis device generates a single behavioral vector representative of the given user. The security analysis device classifies a computing device associated with the given user based on the single behavioral vector and at least one of known information or other behavioral vectors for other users.