Arbor Networks, Inc.

Alan Saqui

Sean O'Hara

Andrew David Mortensen

Brantleigh Bunting

Bryan Beecher

Kyle Barkmeier

A system and computer-implemented method to detect particular Domain Name System (DNS) misuse, wherein the method includes obtaining monitored network data. The monitored network data includes respective instances of request traffic. The request traffic is associated with DNS requests that request resolution of a name that belongs to at least one identified domain. Each DNS request is sent from a source address of one or more stub resolver; the source address of the stub resolver may be spoofed. Each instance of request traffic includes the source address, the name for which DNS resolution is requested to be resolved, and the at least one identified domain associated with a corresponding DNS request. The method further includes tracking over time, using a probabilistic algorithm, an approximation of a first cardinality of names belonging to a selected domain of the at least one identified domain included in the instances of request traffic. The method further includes tracking over time, using the probabilistic algorithm, an approximation of a second cardinality of source addresses associated with the selected domain included in the instances of request traffic. The method further includes detecting a combination of a first condition of the approximation of the first cardinality and the second condition of the approximation of the second cardinality, wherein the combination of the first and second conditions indicates the occurrence of a specific DNS misuse. The method further includes performing an action to at least one of output a notification of and correct a condition associated with the detected occurrence of the specific DNS misuse.

DNS misuse detection through attribute cardinality tracking

A method and system for aggregating into a unique aggregated group (AG), protection groups (PGs) that are possible classifications with at least a threshold probability for a same unique combination of IP addresses. The PGs and the unique combination of IP addresses are included in the AG. Each of the IP addresses of the unique combination of IP addresses have respective associated probabilities for each PG included in the AG. The method further includes selecting and providing for display AGs based on the probabilities associated with the respective IP addresses included in the AGs, and providing for display at least one interactive graphical element in association with each AG selected for display. User activation of one of the interactive graphical element accepts assignment of one or more selected IP addresses included in the AG to a selected one of the one or more PGs included in the AG.

Automated classification of network devices to protection groups

A computer method and system to determine one or more sub-groups of protected network servers for receiving common network filter settings for mitigating Denial of Services (Dos) attacks. Network traffic associated with the plurality of network servers is captured and collated for each of the plurality of network servers. The collated network traffic is then analyzed to determine a profile of one or more network services provided by each of the plurality of network servers. Each of the plurality of network servers is then tagged with one or more network services determined provided by each network server based upon analysis of the collated network traffic. Metadata is then determined from the collated network traffic that is associated with each of the plurality of network servers. A determination of sub-group clustering is made of one or more of the plurality of network servers contingent upon the one or more determined network service tags and the determined meta data associated with each of the plurality of network servers. Common DoS mitigation actions may then be prescribed for each of the determined sub-group clusters of network servers.

Clustering network servers for denial of service attacks

A computer method and system for determining common network security filter settings for one or more clusters of network servers. Network traffic samples are captured which are associated with a plurality of network servers. The captured network traffic samples are collated with regards to each of the plurality of network servers. The collated network traffic is analyzed for each of the plurality of network servers for determining suggested network security filter settings for each network server. One or more clusters of network servers are determined contingent upon the determined suggested network security filter settings for each of the plurality of network servers. Common network security group filter settings are determined for each determined cluster of network servers.

Growing community of inventors

Ann Arbor, MI, United States of America

Alan Saqui