US 12,067,857 B1
System and method for reducing a threat footprint of an area-of-interest
Ankit Shah, Tampa, FL (US); Soumyadeep Hore, Tampa, FL (US); and Dinesh Sharma, Tampa, FL (US)
Assigned to University of South Florida, Tampa, FL (US)
Filed by University of South Florida, Tampa, FL (US)
Filed on Dec. 22, 2021, as Appl. No. 17/559,401.
Claims priority of provisional application 63/199,400, filed on Dec. 23, 2020.
Int. Cl. G08B 21/02 (2006.01); G06F 18/21 (2023.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06Q 90/00 (2006.01)
CPC G08B 21/02 (2013.01) [G06F 18/217 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06Q 90/20 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for reducing a threat footprint for an area-of-interest, the method comprising:
identifying an area-of-interest, wherein the area-of-interest comprises one or more entry/exit points;
determining a base risk score for the area-of-interest, wherein the base risk score considers one or more internal attributes of the area-of-interest and one or more external attributes of the area-of-interest;
deriving a graphical representation of the area-of-interest and one or more defense strategies for the area-of-interest;
training an adversarial reinforcement learning agent to identify one or more successful attack paths on the graphical representation of the area-of-interest that are effective in bypassing the one or more defense strategies for the area-of-interest;
determining an active risk score based upon the one or more successful attack paths identified by the adversarial reinforcement learning agent; and
determining one or more mitigation actions that will reduce the active risk score for the area-of-interest based upon the base risk score and one or more predetermined resource constraints, wherein reducing the active risk score reduces a threat footprint for the area-of-interest.