Statistical model to help detect security problems at GA airports

08/10/2011 | United Press International

Engineering researchers at the University of Arkansas have created a statistical model to help find abnormalities in daily operations at general aviation airports. Created in response to the security threat highlighted last year when a suicide attacker flew a small plane into an IRS building in Austin, Texas, the model uses data such as average numbers of takeoffs and landings and numbers of planes based at airports to detect possible security problems.

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