System and method for anomaly detection

Details System and method for anomaly detection System and method for anomaly detection

2006-06-08

2010-06-15

Rodriguez, Paul L (Department: 2123)

Data processing: structural design, modeling, simulation, and em

Modeling by mathematical expression

Reexamination Certificate

active

07739082

ABSTRACT:
A system and method for detecting one or more anomalies in a plurality of observations is provided. In one illustrative embodiment, the observations are real-time network observations collected from a stream of network traffic. The method includes performing a discrete decomposition of the observations, and introducing derived variables to increase storage and query efficiencies. A mathematical model, such as a conditional independence model, is then generated from the formatted data. The formatted data is also used to construct frequency tables which maintain an accurate count of specific variable occurrence as indicated by the model generation process. The formatted data is then applied to the mathematical model to generate scored data. The scored data is then analyzed to detect anomalies.

REFERENCES:
patent: 6091846 (2000-07-01), Lin et al.
patent: 2002/0129264 (2002-09-01), Rowland et al.
patent: 2002/0144156 (2002-10-01), Copeland, III
patent: 2002/0161763 (2002-10-01), Ye et al.
patent: 2003/0172302 (2003-09-01), Judge et al.
patent: 2003/0236652 (2003-12-01), Scherrer
patent: 2004/0221190 (2004-11-01), Roletto et al.
patent: 2005/0193281 (2005-09-01), Ide et al.
patent: 2005/0220265 (2005-10-01), Besson
patent: 2008/0201278 (2008-08-01), Muller et al.
patent: WO 00/07312 (2000-02-01), None
patent: WO 02/21802 (2002-03-01), None

Affiliated with

Also associated with

Rating

System and method for anomaly detection does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System and method for anomaly detection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for anomaly detection will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4198306