Abstract: The present disclosure relates to a system and methods for extracting association rules from datasets.

Abstract: Detecting threats in a network are provided. A network security monitor obtains records for entities that access a network. The records include attributes associated with the entities. The network security monitor generates clusters from the records using a matching process. The network security monitor classifies a first cluster as a threat cluster. The network security monitor receives, subsequent to generating the plurality of clusters, a record from an entity that access the network. The network security monitor assigns the record to the first cluster using the matching process. The network security monitor detects, responsive to assigning the record to the first cluster, a threat associated with the entity.

Abstract: Systems and methods for threat detection in a network are provided. The system obtains recoils for entities that access a network. The records include attributes associated with the entities. The system identifies features for each of the entities based on the attributes. The system generates a feature set for each of the entities. The feature set is generated from the features identified based on the attributes of each of the entities. The system forms clusters of entities based on the feature set for each of the entities. The system classifies each of the clusters with a threat severity score calculated based on scores associated with entities forming each of the clusters. The system determines to generate an alert for an entity in a cluster response to the threat severity score of the cluster being greater than a threshold.

Abstract: Systems and methods for threat detection in a network are provided. The system obtains recoils for entities that access a network. The records include attributes associated with the entities. The system identifies features for each of the entities based on the attributes. The system generates a feature set for each of the entities. The feature set is generated from the features identified based on the attributes of each of the entities. The system forms clusters of entities based on the feature set for each of the entities. The system classifies each of the clusters with a threat severity score calculated based on scores associated with entities forming each of the clusters. The system determines to generate an alert for an entity in a cluster response to the threat severity score of the cluster being greater than a threshold.

Abstract: Detecting threats in a network are provided. A network security monitor obtains records for entities that access a network. The records include attributes associated with the entities. The network security monitor generates clusters from the records using a matching process. The network security monitor classifies a first cluster as a threat cluster. The network security monitor receives, subsequent to generating the plurality of clusters, a record from an entity that access the network. The network security monitor assigns the record to the first cluster using the matching process. The network security monitor detects, responsive to assigning the record to the first cluster, a threat associated with the entity.