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dc.contributor.authorKharchenko, V.
dc.contributor.authorIlliashenko, O.
dc.contributor.authorBrezhnev, E.
dc.contributor.authorBoyarchuk, A.
dc.contributor.authorGolovanevskiy, Vladimir
dc.date.accessioned2017-01-30T12:41:21Z
dc.date.available2017-01-30T12:41:21Z
dc.date.created2015-10-29T04:09:33Z
dc.date.issued2014
dc.identifier.citationKharchenko, V. and Illiashenko, O. and Brezhnev, E. and Boyarchuk, A. and Golovanevskiy, V. 2014. Security informed safety assessment of industrial FPGA-based systems, in Proceedings of the Probabilistic Safety Assessment and Management Conference, Jun 22-27 2014. Honolulu, Hawaii: PSAM.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/24142
dc.description.abstract

The strong interconnection and interrelation of safety and security properties of industrial system which are based on programmable logic (field programmable gate arrays, FPGA) is reviewed. Information security, i.e. system's ability to protect the information and data from unauthorized access and modification, is a subordinate property with respect to safety of many instrumentation and control systems (I&Cs), primarily to the NPP reactor trip systems. Such subordination may be taken into account by implementation of security informed safety (SIS) approach. The methodology for safety assessment of FPGA-based systems which are widely used in industrial critical systems is described. It is based on joint using of security analysis techniques (GAP-analysis and intrusion modes, effects and criticality IMECA analysis) and also their reflection on the final safety assessment picture of the system with two channels. This methodology forms so called security informed safety approach. Additional aspects of safety assessment of diverse instrumentation and control FPGA-based systems for safety-critical application are described.

dc.publisherTechno-Info Comprehensive Solutions (TICS)
dc.relation.urihttp://psam12.org/
dc.titleSecurity informed safety assessment of industrial FPGA-based systems
dc.typeConference Paper
dcterms.source.titlePSAM 2014 - Probabilistic Safety Assessment and Management
dcterms.source.seriesPSAM 2014 - Probabilistic Safety Assessment and Management
curtin.departmentDept of Mining Eng & Metallurgical Eng
curtin.accessStatusFulltext not available


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