References
- T. Lovecek, J. Vaculík, L. Kittel, Qualitative approach to evaluation of critical infrastructure security systems, Eur. J.Secur.Saf. 1 (1) (2012) 1-11.
- M. Coole, J. Corkill, A. Woodward, Defence in Depth, Protection in Depth and Security in Depth: A Comparative Analysis towards a Common Usage Language, 2012.
- R. Nunes-Vaz, S. Lord, Designing physical security for complex infrastructures, Int. J. Crit. Infrastruct.Protect. 7 (3) (2014) 178-192. https://doi.org/10.1016/j.ijcip.2014.06.003
- C.D. Jaeger, N.S. Roehrig, T. Torres, Development of an Automated Security Risk Assessment Methodology Tool for Critical Infrastructures, Sandia report, 2008.
- F. Argenti, G. Landucci, V. Cozzani, et al., A study on the performance assessment of anti-terrorism physical protection systems in chemical plants, Saf. Sci. 94 (2017) 181-196. https://doi.org/10.1016/j.ssci.2016.11.022
- Z. Vintr, M. Vintr, J. Malach, Evaluation of physical protection system effectiveness. Security Technology (ICCST), in: 2012 IEEE International Carnahan Conference on, IEEE, 2012, pp. 15-21.
- M.L. Garcia, The Design and Evaluation of Physical Protection Systems, second ed., Elsevier Butterworth-Heinemann, Burlington, MA, 2008.
- M.L. Garcia, Vulnerability Assessment of Physical Protection Systems, Elsevier Butterworth-Heinemann, Burlington, MA, 2006.
- H.A. Bennett, EASI Approach to Physical Security Evaluation, Sandia National Laboratory, Albuquerque, NM, 1977. SAND-760500.
- D.W. Whithead, C.S. Potter, S.L. O'Connor, Nuclear Power Plant Security Assessment Technical Manual, Sandia National Laboratory, Albuquerque, NM, 2007. SAND-007-5591.
- S.A.V.I. Sandia National Laboratory, Systematic Analysis of Vulnerability to Intrusion, SAND89-0926, Sandia National Laboratory, Albuquerque, NM, 1989.
- R.A. Al-Ayat, T.D. Cousins, E.R. Hoover, ASSESS Update - Current Status and Future Developments, UCRL-JC-104360, Lawrence Livermore National Laboratory, Livermore, CA, 1990.
- S.S. Jang, S.W. Kwak, H. Yoo, J.S. Kim, W.K. Yoon, Development of a vulnerability assessment code for a physical protection system: systematic analysis of physical protection effectiveness (SAPE), Nucl. Eng.Technol 41 (5) (2009) 747-752. https://doi.org/10.5516/NET.2009.41.5.747
- V.D. Blondel, J.L. Guillaume, R. Lambiotte, et al., Fast unfolding of communities in large networks, J. Stat. Mech. Theor. Exp. 2008 (10) (2008) P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008
- U.N. Raghavan, R. Albert, S. Kumara, Near linear time algorithm to detect community structures in large-scale networks, Phys. Rev.E 76 (3) (2007), 036106. https://doi.org/10.1103/PhysRevE.76.036106
- J. Shi, J. Malik, Normalized cuts and image segmentation, IEEE Trans. Pattern Anal. Mach. Intell. 22 (8) (2000) 888-905. https://doi.org/10.1109/34.868688
- B.W. Kernighan, S. Lin, An efficient heuristic procedure for partitioning graphs, Bell .Syst.Tech.J 49 (2) (1970) 291-307. https://doi.org/10.1002/j.1538-7305.1970.tb01770.x
- F. Sayadi, Y. Said, M. Atri, et al., Physical Protection Systems and Critical Infrastructure Protection in the Czech Republic. Recent Researches in Automatic Control, Systems Science and Communications, 2012.
- Sadia, Adversary Sequence Diagram (ASD) Model, International Training Course on the Physical Protection of Nuclear Facilities and Materials, 2018 (Albuquerque, New Mexico, USA).
- International Atomic Energy Agency, Nuclear Security Recommendations on Physical Protection of Nuclear Material and Nuclear Facilities (INFCIRC/225/Revision 5), IAEA Nuclear Security Series No. 13, IAEA, Vienna, 2011.
- J. Wood, Control Room Design, Human factors for engineers, 2004, pp. 203-233.
- M.E.J. Newman, Fast algorithm for detecting community structure in networks, Phys. Rev.E 69 (6) (2004), 066133. https://doi.org/10.1103/PhysRevE.69.066133
- M.E.J. Newman, Detecting community structure in networks, Eur. Phys. J.B 38 (2) (2004) 321-330. https://doi.org/10.1140/epjb/e2004-00124-y
- B. Everitt, A. Skrondal, The Cambridge Dictionary of Statistics, Cambridge University Press, Cambridge, 2002, p. 96.
- Y.A. Setiawan, S.S. Chirayath, E.D. Kitcher, MAPPS: a stochastic computational tool for multi-path analysis of physical protection systems, Ann. Nucl. Energy (2019) 107074.
- F. Argenti, G. Landucci, G. Reniers, et al., Vulnerability assessment of chemical facilities to intentional attacks based on Bayesian Network, Reliab. Eng. Syst. Saf. 169 (2018) 515-530. https://doi.org/10.1016/j.ress.2017.09.023
Cited by
- Modeling and Simulation as Tools to Increase the Protection of Critical Infrastructure and the Sustainability of the Provision of Essential Needs of Citizens vol.13, pp.11, 2021, https://doi.org/10.3390/su13115898