Aspect Software, Incorporated

Arbor Networks, Inc.

Ellacoya Networks, Inc.

Justin William Haddad

Kurt A Dobbins

Sean O'Hara

David Ruffen

David L Cullerot

Mark Thomas Sexton

Jason P Poirier

Richard W Shea

Fergal Glynn

Richard J Schmidt

Brian Silver

Stephen G Delahunty

Ken Ouellette

Adam Michael Lederman

Christopher Lawrence Cheetham

Vinh Huu Tran

Pradeep Kumar

Wouter Johan Weiss

Andre C Boutin

A method and system for automatically classifying protected devices of a protected network to protection groups providing customized protection. The method includes accessing network flow information that includes network statistics processed from observed data obtained by packet interception devices, accessing at least one model that was trained using machine learning and a training data set of the network flow information to classify protected devices having addresses that correspond to destination addresses associated with the training data set to respective protection groups as a function of the network statistics that correspond to the training data set, and classifying a protected device that has an address that corresponds to a destination address associated with a portion of the network flow information to at least one of the protection groups using the at least one model and machine learning and as a function of the network statistics that correspond to the portion of the network flow information.

Automated classification of network devices to protection groups

Some embodiments of the present invention provide a method and system for correlating information regarding an interactive communication. A session application record is provided to store information of a session that represents an interactive communication that is at least between two endpoints. An application programming interface (API) is provided for users to create and manipulate session application records. Application specific data or customized data can be stored with the session application record using a tag that includes a name and value pair. One session application record can be associated with another session application record by using a relation. Any information that is gathered during a session can be accessible even when one of the endpoints is replaced by another endpoint.

Session application records

A unified session detail records of a multi-hop session is provided. The multi-hop session may be established through multiple nodes in a VoIP network. Each node may generate session detail records for the legs of the multi-hop session that are connected to the node. The nodes on the path of the multi-hop call may send the record to a single node to consolidate the session detail records of the legs of the multi-hop call in the single node so that the single node can provide unified session detail records of the multi-hop session. By providing unified session detail records, the user does not need to track down the nodes that are on the path of the multi-hop call to obtain the session detail records of the multi-hop session.

Unified session detail records

Content resources are managed. A request is received from a user for access to a source of content resources. It is determined that the user is authorized for access to the source. A portal Web page is generated based on a set of content element data applicable to the subscriber. The portal Web page is returned to the user. A system for use in managing content resources has a switch for receiving requests from Web browsers, a content resource management engine in communication with the switch, and a billing system in communication with the content resource management engine.

Managing content resources

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Merrimack, NH, United States of America

Justin William Haddad