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Reduced-Order Modeling of Critical Communications Network Protect Surfaces

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: 70RSAT23C00000031
Agency Tracking Number: 23.1 DHS231-006-0015-I
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DHS231-006
Solicitation Number: 23.1
Solicitation Year: 2023
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-05-09
Award End Date (Contract End Date): 2023-10-08
Small Business Information
10041 Wild Orchid Way
Elk Grove, CA 95757-4345
United States
DUNS: 084613536
HUBZone Owned: Yes
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Amitav Mukherjee
 (408) 687-8288
Business Contact
 Amitav Mukherjee
Title: President
Phone: (408) 687-8288
Research Institution

Tiami LLC, a socially and economically disadvantaged small business located in a HUBZone, aims to develop a first-of-its-kind reduced-order modeling solution for data communications networks. We will develop a discrete-time linear time-invariant (LTI) state-space model for a general communications network. We will then apply projection methods such as proper orthogonal decomposition (POD) and balanced truncation for reduced-order modeling and uncovering the user-specified set of exposed variables that are hypothesized to be readable by an attacker, as well as a user-specified set of variables that are hypothesized to be manipulatable by an attacker. We will also map attack models to actions that impact the system state. These methods will be applied to two network exemplars that are widely used in critical infrastructure: supervisory control and data acquisition (SCADA) in electrical power grids and oil and gas fields, and mission-critical push-to-talk networks for first responders, nuclear power plant personnel, and rail workers.The target market for reduced-order modeling of communications networks includes DHS components such as CISA, federal agencies such as the NSA, commercial telecommunications companies, network equipment manufacturers, and network operators. These companies are constantly looking for ways to improve the performance and efficiency of their networks and reduced-order modeling can provide a valuable solution.

* Information listed above is at the time of submission. *

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