Donald J Bell

US Patent:

7133869, Nov 7, 2006

Filed:

Dec 14, 2001

Appl. No.:

10/020260

Inventors:

Edward Lee Bryan - Durham NC, US
David Tracy Bennett - Chapel Hill NC, US
Donald John Bell - Mebane NC, US
Vincent Jacques Francois Guilbaud - Cary NC, US

Assignee:

Knowledge Vector, Inc. - Durham NC

International Classification:

G06F 17/30

US Classification:

707 9, 707 1, 707102, 7071041

Abstract:

Methods and systems for defining and distributing information alerts include presenting a user with a series of templates that allows the user to define security events, information alerts to be triggered by the events, and intended recipients for the alerts. Intended recipients for the alerts are presented with templates that allow the individuals to input contact and schedule information for receiving the information alerts. A knowledge switch uses the event definitions and the contact and schedule information to detect events and distribute the information alerts to the intended recipients when an event occurs. The information alerts include directives that instruct intended recipients regarding action to be taken in response to a security event.

US Patent:

20060265397, Nov 23, 2006

Filed:

Feb 22, 2006

Appl. No.:

11/359888

Inventors:

Edward Bryan - Durham NC, US
David Bennett - Chapel Hill NC, US
Richard Zobel - Raleigh NC, US
Donald Bell - Chapel Hill NC, US
Laura Vandivier - Durham NC, US
Jason Pace - Raleigh NC, US
Robert Welton - Clayton NC, US
Willem Pet - Durham NC, US

International Classification:

G06F 17/30

US Classification:

707010000

Abstract:

Methods, systems, and computer program products for extensible, profile- and context-based information correlation, routing, and distribution are disclosed. According to one system, source plug-ins receive output from a plurality of different sensors. A content manager merges data from individual sensors together with metadata that is representative of a context and aggregates the sensor data and the context metadata into knowledge items. A scenario engine achieves sensor fusion by comparing the sensor data and its context metadata against a defined set of policies and/or rules and provides for performance of an action when a rule or policy is satisfied.