Melissa D Lee

US Patent:

20200195673, Jun 18, 2020

Filed:

Dec 18, 2018

Appl. No.:

16/224406

Inventors:

- Atlanta GA, US
Melissa Lee - McKinney TX, US

International Classification:

H04L 29/06
H04L 12/721

Abstract:

A processing system including at least one processor may obtain network traffic data of a network, including a first set of flow data associated with a first node, determine an anomaly factor of the first node from the network traffic data quantifying a deviation of the first set of flow data from a normal flow data associated with the first node, generate an exposure score of the first node in accordance with a measured influence of the first node in the network and the anomaly factor, generate a persistence score of the first node in accordance with a reputation measure of the first node and a measure of a recurrence of anomalous flow data associated with the first node, calculate a threat level of the first node from the exposure score and the persistence score, and reconfigure at least one aspect of the network in response to the threat level.

US Patent:

20200187009, Jun 11, 2020

Filed:

Dec 5, 2018

Appl. No.:

16/210601

Inventors:

- Atlanta GA, US
Aarthi Reddy - Allen TX, US
Melissa Lee - McKinney TX, US
Mukund Rao - Dallas TX, US

International Classification:

H04W 12/10
H04W 24/08
H04L 12/851
H04W 40/20
G06F 16/29
G06N 7/00
H04W 12/00
H04W 4/02

Abstract:

A method, computer-readable medium, and apparatus for classifying IP network traffic are disclosed. For example, a method may include a processor for applying a regularized probabilistic model to internet protocol network traffic for performing geolocation, wherein the internet protocol network traffic contains internet protocol address information, detecting an outlier in the internet protocol network traffic, wherein the outlier is associated with a transaction over a network, and performing a remedial action to address the outlier.