Deborah K Charan

7203173, Apr 10, 2007

Jan 25, 2002

10/057576

Jordan C. Bonney - Bloomington MN, US
Benjamin L. Burnett - Prior Lake MN, US
Deborah K. Charan - Minneapolis MN, US

Architecture Technology Corp. - Eden Prairie MN

H04L 12/26
G06F 15/173

370242, 709224

A system is described for monitoring and testing enterprise networks that tend to have a number of geographically dispersed devices and interconnected sub-networks. The system includes a plurality of distributed agents to capture packets from a network. The system further includes an aggregation module coupled to the network to receive and aggregate the captured packets. During the aggregation process, the aggregation module identifies duplicate packets that were captured by different agents as an originating packet traverses the network. A display is coupled to the aggregation module, presents the non-duplicate network packets, giving a user a clear illustration of network activity. For the duplicate packets, the aggregation module presents a representative packet, such as the originating packet, that may be expanded by the user to view the details of the duplicate packets.

20030145039, Jul 31, 2003

Jan 25, 2002

10/057574

Jordan Bonney - Bloomington MN, US
Benjamin Burnett - Prior Lake MN, US
Deborah Charan - Minneapolis MN, US

G06F015/173

709/202000, 709/224000

A system is described for monitoring and testing computer networks, such as enterprise networks that tend to have a number of geographically dispersed devices and interconnected sub-networks. The system includes a plurality of distributed agents coupled to a computing network. The system further includes a replay module coupled to the network that has storage medium to store replay data. The replay module communicates respective portions of the replay data to the agents, and issues commands to the agents to control introduction of the network packets on the computing network by the agents. The replay data stored by the storage medium may define a conditional flow for introduction of the network packets by the agents. Accordingly, the replay module may issue commands to the agents in accordance with the conditional flow.

20130108045, May 2, 2013

Oct 27, 2011

13/283162

Clint Michael Sanders - Plymouth MN, US
Deborah Karen Charan - Minneapolis MN, US
Ranga Sri Ramanujan - Medina MN, US
Ryan Christopher Marotz - Bloomington MN, US

H04L 9/06

380260

Methods, networks and nodes for dynamically establishing encrypted communications between a first node having a first identification and a first private key and a second node having a second identification and a second private key. A first signal comprising information indicative of the first identification of the first node is transmitted, then, upon receipt of the first signal by the second node, a second signal comprising information indicative of the second identification of the second node and a first portion of a symmetric key is transmitted, then, upon receipt of the second signal by the first node, a third signal comprising a second portion of the symmetric key is transmitted.

20230063618, Mar 2, 2023

Sep 6, 2022

17/929926

- Minneapolis MN, US
Deborah K. Charan - Minneapolis MN, US
Ian J. McLinden - Minneapolis MN, US
Jordan C. Bonney - Bloomington MN, US

H04L 47/2441
H04L 47/762
H04L 41/084
H04L 41/0816
H04L 41/08
H04L 47/78
H04W 16/28
H04W 76/19
H04B 7/06

This disclosure is directed to network optimization in a complex joint network for increasing the network utility of the complex joint network. A computing device in the complex joint network may receive a data flow via a complex joint network. The computing device may determine, based on a network template, a mission utility associated with the data flow and a traffic class associated with the data flow. The computing device may control one or more quality of service decisions based at least in part on the mission utility associated with the data flow and the traffic class associated with the data flow.

20170310638, Oct 26, 2017

Jun 30, 2017

15/639045

- Minneapolis MN, US
Deborah K. Charan - Minneapolis MN, US
Fabio Pozzo - Eden Prairie MN, US
Ranga Ramanujan - Medina MN, US

H04L 29/06
H04L 29/06
H04L 12/24
H04L 12/24
H04L 12/24
H04L 29/06
H04L 12/24

This disclosure describes a context aware scalable dynamic network whereby network information concerning network elements in an untrusted (Black) network are gathered by network sensors, stored at a network sensor collector, and sent to another network sensor collector in a trusted (Red) network through a one-way guard. At the Red network, the network information from the Black network may be combined with network information from one or more Red networks. The combined network information may then be used to visualize a cross-domain network topology of both Red and Black networks, and to implement network management functions.

20170099143, Apr 6, 2017

Jul 18, 2016

15/213084

- Minneapolis MN, US
Deborah K. Charan - Minneapolis MN, US
Ranga Sri Ramanujan - Medina MN, US
Ryan C. Marotz - Bloomington MN, US

H04L 9/32
H04L 9/14
H04L 29/06
H04L 9/08

Methods, networks and nodes for dynamically establishing encrypted communications between a first node having a first identification and a first private key and a second node having a second identification and a second private key. A first signal comprising information indicative of the first identification of the first node is transmitted, then, upon receipt of the first signal by the second node, a second signal comprising information indicative of the second identification of the second node and a first portion of a symmetric key is transmitted, then, upon receipt of the second signal by the first node, a third signal comprising a second portion of the symmetric key is transmitted.

20150180830, Jun 25, 2015

Oct 10, 2014

14/512123

- Minneapolis MN, US
Deborah K. Charan - Minneapolis MN, US
Fabio Pozzo - Eden Prairie MN, US
Ranga Ramanujan - Hamel MN, US

H04L 29/06

This disclosure describes a context aware scalable dynamic network whereby network information concerning network elements in an untrusted (Black) network are gathered by network sensors, stored at a network sensor collector, and sent to another network sensor collector in a trusted (Red) network through a one-way guard. At the Red network, the network information from the Black network may be combined with network information from one or more Red networks. The combined network information may then be used to visualize a cross-domain network topology of both Red and Black networks, and to implement network management functions.