Fingerprinting assisted by similarity-based semantic clustering
Abstract:
Systems, methods, and related technologies for classification are described. Entity attribute data associated with network entities is obtained. One or more entity attributes for classifying a set of entities is determined based on the entity attribute data. A set of entities coupled to a network are monitored. Values of the one or more entity attributes for the plurality of entities is identified. The set of entities are clustered into one or more entity clusters based on a similarity of the one or more entity attributes for the entities. An entity fingerprinting action is then performed based on the entity clusters.
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