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Noblis Receives Security Checkpoint Simulation System Patent

Noblis Receives Security Checkpoint Simulation System Patent - top government contractors - best government contracting event

Noblis has received a U.S. patent for a machine learning-based method generating models that can imitate different security checkpoint setups and show how each configuration responds to various kinds of threat. 

The Reston, Virginia-based nonprofit organization said Thursday its iterative modeling system employs algorithms based on concepts from rule-based adversarial games.

Noblis researchers particularly utilized chess game rules to allow the system to determine the possible outcomes of various potential attacks through security checkpoints.

Brian Lewis, team lead and co-inventor at Noblis, said the approach could help decision-makers calculate return on investment should they decide to implement changes to a certain security configuration.

The tool was developed under the organization’s internally sponsored research program.

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Written by Mary-Louise Hoffman

is a writer of news summaries about executive-level business activity in the government contracting sector. Her reports for ExecutiveBiz are focused on trends and events that drive the GovCon industry to include commercial technologies that private companies are developing for federal government use. She contributes news content to ExecutiveBiz’s sister sites GovCon Wire and ExecutiveGov.

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