Visible to the public The Method of Expert Evaluation of Airports Aviation Security Using Perceptual Calculations

TitleThe Method of Expert Evaluation of Airports Aviation Security Using Perceptual Calculations
Publication TypeConference Paper
Year of Publication2018
AuthorsPavlenko, P., Tavrov, D., Temnikov, V., Zavgorodniy, S., Temnikov, A.
Conference Name2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT)
Keywordsacts of unlawful interference, aircraft safety, airport, airport AS, airport security, Airports, airports aviation security, AS employees, Atmospheric modeling, aviation security, Computational modeling, expert evaluation, expert quality assessment, expert systems, functional state, Fuzzy sets, Human Behavior, intruders, Linguistics, perceptual calculations, perceptual computer, Personnel, proactive control, pubcrawl, resilience, Resiliency, restricted areas protection, Scalability, SCAUI elements, SCAUI state control, security, system of counteraction to acts of unlawful interference, technical systems, type-2 fuzzy sets, Uncertainty, unlawful interference

One of the effective ways to improve the quality of airport security (AS) is to improve the quality of management of the state of the system for countering acts of unlawful interference by intruders into the airports (SCAUI), which is a set of AS employees, technical systems and devices used for passenger screening, luggage, other operational procedures, as well as to protect the restricted areas of the airports. Proactive control of the SCAUI state includes ongoing conducting assessment of airport AS quality by experts, identification of SCAUI elements (functional state of AS employees, characteristics of technical systems and devices) that have a predominant influence on AS, and improvement of their performance. This article presents principles of the model and the method for conducting expert quality assessment of airport AS, whose application allows to increase the efficiency and quality of AS assessment by experts, and, consequently, the quality of SCAUI state control.

Citation Keypavlenko_method_2018