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Terahertz cyber security testing using artificial intelligence

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-20-P-0424
Agency Tracking Number: F19B-001-0094
Amount: $99,997.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: AF19B-T001
Solicitation Number: 19.B
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-01-16
Award End Date (Contract End Date): 2022-01-16
Small Business Information
9433 van Arsdale Drive
Vienna, VA 22181
United States
DUNS: 080842424
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Paulina Shur
 President and CEO
 (518) 421-8830
Business Contact
 Paulina Shur
Phone: (518) 421-8830
Research Institution
 Florida International University
 Robert Gutierrez Robert Gutierrez
10555 W Flagler Street
Miami, VA 33174
United States

 (305) 308-8312
 Nonprofit College or University

The goal this work is to use AI to interpret the THz and sub-THz responses at the pins to the defects and deviations from design of the integrated circuits under test. The key application is work is identifying hardware security treats using artificial intelligence (AI) for cyber security applications. Our approach will provide a rapid, inexpensive, and non-destructive technology address this problem. We will use a new terahertz AI testing routine for non-destructive identification of integrated circuits, in-situ and even under bias, via interpreting their response to terahertz and/or sub-terahertz radiation at the circuit pins for the response classification and interpretation. Our test technique uses the intensity, polarization, frequency, and bias dependences of the THz response at the VLSI or MMIC pins. It could be also applied for prediction lifespan and reliability of integrated circuits and electronic devices.

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

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