The proposal of security and safety management system with fuzzy logic support

Ďuricová, Lucia; Hromada, Martin; Mrázek, Jan

dc.title	The proposal of security and safety management system with fuzzy logic support	en
dc.contributor.author	Ďuricová, Lucia
dc.contributor.author	Hromada, Martin
dc.contributor.author	Mrázek, Jan
dc.relation.ispartof	6th International Defense and Homeland Security Simulation Workshop, DHSS 2016
dc.identifier.isbn	9788897999713
dc.date.issued	2016
dc.citation.spage	10
dc.citation.epage	14
dc.event.title	6th International Defense and Homeland Security Simulation Workshop, DHSS 2016
dc.event.location	Larnaca
utb.event.state-en	Cyprus
utb.event.state-cs	Kypr
dc.event.sdate	2016-09-26
dc.event.edate	2016-09-28
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Dime University of Genoa
dc.subject	Object security	en
dc.subject	Safety	en
dc.subject	Soft targets	en
dc.subject	Solution	en
dc.description.abstract	This paper presents the implementation of the fuzzy logic into the security and safety solution in the soft targets. The primary structure of safety and security tool is described in the first part. This tool has been implemented into specific object; for example, for object without security and safety solution (soft targets). In the next part, the primary rules for the use of fuzzy logic are defined. The aim of this paper is to define the primary layout for software which could help operators with decision-making process. The article also proposes and describes the solution for system application of security requirements by understanding the soft targets threats. The system solution is different for each organization and object; however, the main structure is the same.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1006841
utb.identifier.obdid	43875736
utb.identifier.scopus	2-s2.0-85001022206
utb.source	d-scopus
dc.date.accessioned	2017-02-28T15:11:32Z
dc.date.available	2017-02-28T15:11:32Z
utb.contributor.internalauthor	Ďuricová, Lucia
utb.contributor.internalauthor	Hromada, Martin
utb.contributor.internalauthor	Mrázek, Jan
utb.fulltext.affiliation	Lucia Duricova(a), Martin Hromada(b), Jan Mrazek(c) (a),(b),(c)Tomas Bata University in Zlin (a) duricova@fai.utb.cz, (b) hromada@fai.utb.cz (c) jmrazek@fai.utb.cz
utb.fulltext.dates	-
utb.fulltext.references	Bishop, C.M., 2006. Pattern recognition machine learning, Springer. British Standard BS OHSAS 18001/2007, Occupational Health and Safety Management SystemsRequirements. Driankov, D. Hellendoom, H. Reinfrank, M., 1993. An introduction to fuzzy control, Springer Verlag. Duricova, L. Hromada, M. Mrazek, J., 2016. Security and Safety Requirements for Soft Targets in Czech Republic, SECURWARE 2016 The Tenth International Conference on Emerging Security Information, Systems and Technologies, IARIA, pp. 271-275, ISBN: 978-1-61208-493-0. Duricova, L. Hromada, M. Mrazek, J., 2016. Security and Safety Processes in Czech Republic Universities, SECURWARE 2016 The Tenth International Conference on Emerging Security Information, Systems and Technologies, IARIA, pp. 105-110, ISBN: 978-1-61208-493-0. Duricova, P. L. Hromada, M. The Proposal of the Soft Targets Security. Advences in Intelligent Systems and Computing, Automation Control Theory Perspectives in Intelligent Systems. Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), Vol3, Springer, pp.: 337-345. ISSN 2194-5357, ISBN 978-3-319-33387-8, DOI 10.1007/978-3-319-33389-2. Duricova, P.L., Hromada, M., 2015. The proposal system for the safety assessment of soft targets with focus on school facilities. Proceeding of 3rd CER Comperative, vol. 2, pp. 30-33. Sciemcee Publishing, London. Fennely, L. Perry, M. “ The Handbook for School Safety and Security,” 1st ed., Elsevier, 2014, ISBN: 978-0-12800568-2. ISO/IEC 27001:2013, Information TechnologySecurity Techniques- Information Security Management Systems – Requirements. Jura, P., 2004. Some remarks on mathematical models, WSEAS Transactions on information science and application, 1 (5), 1426-1429. Klir, G. J., Yuan, B., 1995. Sets and fuzzy logic In: Theory and application, Prentice Hall, New Jersey. Rohan, 2016, If than rules. In: http://www.rohan.sdsu.edu/doc/matlab/toolbox/fuzzy/fuzzytu5.html Ross, T. J. “Fuzzy logic with engineering applications” 3rd Edition, John Wiley & Sons, Ltd. 2010, ISBN: 978-0-470-74376-8. Rosenberg, F., 2014. Nice solution for critical facilities, Nidam, Nice. Sennewald, Ch. Baillie, C. “Effective Security Management,” 6th ed.,Amsterdam: Elsevier, 2016, ISBN: 9780-12-802774-5. Takagi, T., Sugeno, M. 1985. Fuzzy Identification of Systems and Its Application to Modeling and Control. IEEE Trans. on System, Man, and Cybernetics, 15 (1), 116–132. Zadeh, L. A., 1965. Fuzzy Sets. In: Information and Control, vol. 8, 338–353.
utb.fulltext.sponsorship	This project is realized as the research with doctoral student and it is the basic input for further research which we will develop in next term. This work was supported by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2016/012.
utb.fulltext.projects	IGA/FAI/2016/012