Methods and systems for detecting abnormal digital traffic

Electrical computers and digital processing systems: multicomput – Computer network managing – Computer network monitoring

Reexamination Certificate

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C709S223000

Reexamination Certificate

active

07908357

ABSTRACT:
Aspects of the present invention encompass methods and systems for detecting abnormal digital traffic by assigning characterizations of network behaviors according to knowledge nodes and calculating a confidence value based on the characterizations from at least one knowledge node and on weighting factors associated with the knowledge nodes. The knowledge nodes include a characterization model based on prior network information. At least one of the knowledge nodes should not be based on fixed thresholds or signatures. The confidence value includes a quantification of the degree of confidence that the network behaviors constitute abnormal network traffic.

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