Abstract: A security system detects and attributes anomalous activity in a network. The system logs user network activity, which can include ports used, IP addresses, commands typed, etc., and may detect anomalous activity by comparing users to find similar users, sorting similar users into cohorts, and comparing new user activity to logged behavior of the cohort. The comparison can include a divergence calculation. Origins of user activity can also be used to determine anomalous network activity. The hostname, username, IP address, and timestamp can be used to calculate aggregate scores and convoluted scores. The system extracts features from the logged anomalous network activity, and determines whether the activity is attributable to an actor profile by comparing the extracted features and attributes associated with the actor profile based upon previous activity attributed to the actor.

Abstract: A security system detects and attributes anomalous activity in a network. The system logs user network activity, which can include ports used, IP addresses, commands typed, etc., and may detect anomalous activity by comparing users to find similar users, sorting similar users into cohorts, and comparing new user activity to logged behavior of the cohort. The comparison can include a divergence calculation. Origins of user activity can also be used to determine anomalous network activity. The hostname, username, IP address, and timestamp can be used to calculate aggregate scores and convoluted scores. The system extracts features from the logged anomalous network activity, and determines whether the activity is attributable to an actor profile by comparing the extracted features and attributes associated with the actor profile based upon previous activity attributed to the actor.

Abstract: A security system detects and attributes anomalous activity in a network. The system logs user network activity, which can include ports used, IP addresses, commands typed, etc., and may detect anomalous activity by comparing users to find similar users, sorting similar users into cohorts, and comparing new user activity to logged behavior of the cohort. The comparison can include a divergence calculation. Origins of user activity can also be used to determine anomalous network activity. The hostname, username, IP address, and timestamp can be used to calculate aggregate scores and convoluted scores. The system extracts features from the logged anomalous network activity, and determines whether the activity is attributable to an actor profile by comparing the extracted features and attributes associated with the actor profile based upon previous activity attributed to the actor.

Abstract: A security system detects and attributes anomalous activity in a network. The system logs user network activity, which can include ports used, IP addresses, commands typed, etc., and may detect anomalous activity by comparing users to find similar users, sorting similar users into cohorts, and comparing new user activity to logged behavior of the cohort. The comparison can include a divergence calculation. Origins of user activity can also be used to determine anomalous network activity. The hostname, username, IP address, and timestamp can be used to calculate aggregate scores and convoluted scores. The system extracts features from the logged anomalous network activity, and determines whether the activity is attributable to an actor profile by comparing the extracted features and attributes associated with the actor profile based upon previous activity attributed to the actor.

Abstract: A security system detects and attributes anomalous activity in a network. The system logs user network activity, which can include ports used, IP addresses, commands typed, etc., and may detect anomalous activity by comparing users to find similar users, sorting similar users into cohorts, and comparing new user activity to logged behavior of the cohort. The comparison can include a divergence calculation. Origins of user activity can also be used to determine anomalous network activity. The hostname, username, IP address, and timestamp can be used to calculate aggregate scores and convoluted scores. The system extracts features from the logged anomalous network activity, and determines whether the activity is attributable to an actor profile by comparing the extracted features and attributes associated with the actor profile based upon previous activity attributed to the actor.

Abstract: A security system detects and attributes anomalous activity in a network. The system logs user network activity, which can include ports used, IP addresses, commands typed, etc., and may detect anomalous activity by comparing users to find similar users, sorting similar users into cohorts, and comparing new user activity to logged behavior of the cohort. The comparison can include a divergence calculation. Origins of user activity can also be used to determine anomalous network activity. The hostname, username, IP address, and timestamp can be used to calculate aggregate scores and convoluted scores. The system extracts features from the logged anomalous network activity, and determines whether the activity is attributable to an actor profile by comparing the extracted features and attributes associated with the actor profile based upon previous activity attributed to the actor.