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Izvorni znanstveni članak
https://doi.org/https://doi.org/10.1080/00051144.2019.1698192

Optimizing physical protection system using domain experienced exploration method

Dejan Čakija ; Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
Željko Ban ; Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
Marin Golub ; Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
Dino Čakija ; Faculty of Transport and Traffic Sciences, University of Zagreb, Zagreb, Croatia

Puni tekst: engleski, pdf (4 MB) str. 207-218 preuzimanja: 11* citiraj
APA 6th Edition
Čakija, D., Ban, Ž., Golub, M. i Čakija, D. (2020). Optimizing physical protection system using domain experienced exploration method. Automatika, 61 (2), 207-218. Preuzeto s https://hrcak.srce.hr/239864
MLA 8th Edition
Čakija, Dejan, et al. "Optimizing physical protection system using domain experienced exploration method." Automatika, vol. 61, br. 2, 2020, str. 207-218. https://hrcak.srce.hr/239864. Citirano 07.08.2020.
Chicago 17th Edition
Čakija, Dejan, Željko Ban, Marin Golub i Dino Čakija. "Optimizing physical protection system using domain experienced exploration method." Automatika 61, br. 2 (2020): 207-218. https://hrcak.srce.hr/239864
Harvard
Čakija, D., et al. (2020). 'Optimizing physical protection system using domain experienced exploration method', Automatika, 61(2), str. 207-218. Preuzeto s: https://hrcak.srce.hr/239864 (Datum pristupa: 07.08.2020.)
Vancouver
Čakija D, Ban Ž, Golub M, Čakija D. Optimizing physical protection system using domain experienced exploration method. Automatika [Internet]. 2020 [pristupljeno 07.08.2020.];61(2):207-218. Dostupno na: https://hrcak.srce.hr/239864
IEEE
D. Čakija, Ž. Ban, M. Golub i D. Čakija, "Optimizing physical protection system using domain experienced exploration method", Automatika, vol.61, br. 2, str. 207-218, 2020. [Online]. Dostupno na: https://hrcak.srce.hr/239864. [Citirano: 07.08.2020.]

Sažetak
Assessing physical protection system efficiency is mostly done manually by security experts due to the complexity of the assessment process and lack of tools. Computer aided numerical vulnerability analysis has been developed to quantitatively assess physical protection systems. A variety of methods have been proposed to optimize physical protection systems, where one of the most advanced approaches entails precisely defining which security components should be selected and where they should be placed at protected facilities, taking into consideration adversary type, to maximize the probability that an adversary will be stopped at minimum system cost. The most computationally intensive part of the optimization process is the evaluation. The evaluation involves recreating search space and finding optimal adversary’s attack paths from each entry point. We present the domain experienced exploration method that optimizes evaluation process during the search for optimum solutions, considering results from previous evaluations. Performed experiments show that using the presented method, in real-world domains, results in a reduction of evaluation iterations.

Ključne riječi
Multi-objective optimization of physical protection system; domain experienced exploration; genetic algorithms; PPS design; numerical vulnerability analysis

Hrčak ID: 239864

URI
https://hrcak.srce.hr/239864

Posjeta: 23 *