Jennifer Susan Ryan

56152540, Mar 25, 1997

Apr 4, 1995

8/416255

Yuping Qiu - Louisville CO
Jennifer Ryan - Boulder CO
Xiaorong Sun - Superior CO
George B. Pillsbury - Lyons CO
Alex Stevens - Boulder CO
Rudy Zubiate - Boulder CO

U S West Technologies, Inc. - Boulder CO

H04M 336
H04M 706

379221

Methods and systems of traffic routing in a circuit switched communication network having a plurality of switches and a plurality of trunk groups connecting the switches are disclosed. The methods include a step of determining a set of alternate routing paths for each of a plurality of ordered pairs of the switches, wherein the number of alternate routing paths through each of the trunk groups is constrained to be less than a corresponding first predetermined threshold. In one embodiment, the alternate routing paths are determined by computing a solution to a predetermined integer programming problem. In another embodiment, a heuristic technique is used to determine the alternate routing paths.

57296928, Mar 17, 1998

Jun 5, 1996

8/659172

Yuping Qiu - Louisville CO
Jennifer Ryan - Boulder CO
Xiaorong Sun - Boulder CO
Youngho Lee - Boulder CO

U. S. West Technologies, Inc. - Boulder CO

G06F 13368
H04J 326

39520071

A method and system for generating an optimized solution for assigning traffic loads to channels in SONET rings in cooperation with a computer having sufficient memory. The method and system utilize a Mixed Integer Program (MIP) having corresponding variables necessary to model the cost of Terminal Multiplexers, Add/Drop Multiplexers and corresponding interface ports necessary to route the desired traffic loads. By routing traffic loads to reduce computation time and imposing mathematical bounds on the MIP variables, the number of possible MIP solutions is reduced. The Mixed Integer Program is minimized in accordance with the traffic routing and imposed mathematical bounds such that an electrical signal is generated which corresponds to the optimized traffic load assignment information. The signal is converted to digital format whereupon it may be retrieved from computer memory and displayed to the user.

55640214, Oct 8, 1996

May 31, 1994

8/252035

Yuping Qiu - Louisville CO
Jennifer Ryan - Boulder CO
Xiaorong Sun - Boulder CO
Youngho Lee - Boulder CO

US West Technologies, Inc. - Boulder CO

G06F 1520
G06F 9312

39520021

A method for generating an optimized solution for assigning traffic loads to channels in SONET rings in cooperation with a computer having sufficient memory. The method utilizes a Mixed Integer Program (MIP) having corresponding variables necessary to model the cost of Terminal Multiplexers, Add/Drop Multiplexers and corresponding interface ports necessary to route the desired traffic loads. By routing traffic loads to reduce computation time and imposing mathematical bounds on the MIP variables, the number of possible MIP solutions is reduced. The Mixed integer Program is minimized in accordance with the traffic routing and imposed mathematical bounds such that an electrical signal is generated which corresponds to the optimized traffic load assignment information. The signal is converted to digital format whereupon it may be retrieved from computer memory and displayed to the user.

20200221374, Jul 9, 2020

Mar 13, 2020

16/817930

- Arlington VA, US
Ronald Lance Justin - Denver CO, US
Jennifer Lynn Ryan - Golden CO, US

H04W 48/16
H04L 29/06
G06K 9/62
G06F 3/02
G06N 20/00
H04W 24/08
H04W 68/00
H04W 12/12
H04L 12/26

This application is directed to a method for detecting if a cellular attack from a rogue base station router (RBRS) on a cellular network is active. The method includes a step of surveying the network to obtain broadcast data. The method also includes a step of determining that a base station router (BSR) in the network is the RBSR based on execution of a machine learning algorithm using the broadcast data. The method also includes a step of determining that an event associated with a cellular attack is present in the network. The method further includes a step of determining that the cellular attack from the RBSR on the network is active based on the determined RBSR and the determined event associated with a cellular attack.

20200187103, Jun 11, 2020

Feb 18, 2020

16/792931

- Arlington VA, US
Jennifer Lynn Ryan - Golden CO, US
Kerri Ann Stone - Lafayette CO, US

H04W 48/16
H04L 12/26
H04W 12/12
H04W 68/00
H04W 24/08
G06N 20/00
G06F 3/02
G06K 9/62
H04L 29/06

One aspect of the patent application is directed to a method for detecting a rogue device in a network. The method includes a step of performing a cellular scan across the network. The method also includes a step of receiving, from the cellular scan, survey data including system information blocks (SIBs) associated with plural devices. The method also includes a step of decoding the SIBS of the devices. The method further includes a step of comparing the decoded SIBs with the predetermined criteria. The method even further includes a step of determining a threshold of the predetermined criteria has been met by the decoded SIBs associated with one of the plural devices. Yet even further, the method includes a step of calculating a confidence level based upon the met threshold of the one device. Lastly, the method includes a step of determining, based on the confidence level, the one device exhibits characteristics of the rogue device.

20190132231, May 2, 2019

Jul 6, 2018

16/029163

- Herndon VA, US
Jennifer Lynn Ryan - Golden CO, US
Kerri Ann Stone - Lafayette CO, US

H04L 12/26
H04W 24/08

One aspect of the patent application is directed to a method for detecting a rogue device in a network. The method includes a step of performing a cellular scan across the network. The method also includes a step of receiving, from the cellular scan, survey data including system information blocks (SIBs) associated with plural devices. The method also includes a step of decoding the SIBS of the devices. The method further includes a step of comparing the decoded SIBs with the predetermined criteria. The method even further includes a step of determining a threshold of the predetermined criteria has been met by the decoded SIBs associated with one of the plural devices. Yet even further, the method includes a step of calculating a confidence level based upon the met threshold of the one device. Lastly, the method includes a step of determining, based on the confidence level, the one device exhibits characteristics of the rogue device.

20190132741, May 2, 2019

Jul 6, 2018

16/029037

- Herndon VA, US
Ronald Lance Justin - Denver CO, US
Jennifer Lynn Ryan - Golden CO, US

H04W 12/12
H04L 29/06
G06F 15/18
G06F 3/02
G06K 9/62

This application is directed to a method for detecting a rogue device in a network. The method includes a step of surveying the network. The method also includes a step of collecting broadcast data from cellular towers in the network based on the survey. The method also includes a step of distilling the collected broadcast data into abstract syntax notation one (ASN.1)-encoded system information blocks (SIBs) associated with plural devices. The method further includes a step of featurizing the ASN.1-encoded SIBs. The method even further includes a step of running the featurized, ASN.1-encoded SIBs through an unsupervised machine learning algorithm. The algorithm is executed by a processor to analyze all cells in the survey for the rogue device. Yet even further, the method includes a step of determining, based on the run, anomalous cells exhibiting characteristics of the rogue device from all cells in the survey.