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A threat-vulnerability based risk analysis model for cyber physical system security

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dc.contributor.author Ledwaba, Lehlogonolo
dc.contributor.author Venter, HS
dc.date.accessioned 2017-09-29T06:46:33Z
dc.date.available 2017-09-29T06:46:33Z
dc.date.issued 2017-01
dc.identifier.citation Ledwaba, L. and Venter, H.S. 2017. A threat-vulnerability based risk analysis model for cyber physical system security. Proceedings of the 50th Hawaii International Conference on System Sciences, 4-7 January 2017, Kona, Hawaii, USA en_US
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri https://scholarspace.manoa.hawaii.edu/handle/10125/41890
dc.identifier.uri https://www.researchgate.net/publication/312092805_A_Threat-Vulnerability_Based_Risk_Analysis_Model_for_Cyber_Physical_System_Security
dc.identifier.uri http://aisel.aisnet.org/hicss-50/st/cyber-of-things/3/
dc.identifier.uri http://hdl.handle.net/10204/9613
dc.description Proceedings of the 50th Hawaii International Conference on System Sciences, 4-7 January 2017, Kona, Hawaii, USA en_US
dc.description.abstract The ability to network machinery and devices that are otherwise isolated is highly attractive to industry. This has led to growth in the use of cyber-physical systems (CPSs) with existing infrastructure. However, coupling physical and cyber processes leaves CPSs vulnerable to security attacks. A threat-vulnerability based risk model is developed through a detailed analysis of CPS security attack structures and threats. The Stuxnet malware attack is used to test the viability of the proposed model. An analysis of the Natanz system shows that, with an actual case security-risk score at Mitigation level 5, the infested facilities barely avoided a situation worse than the one which occurred. The paper concludes with a discussion on the need for risk analysis as part of CPS security and highlights the future work of modelling and comparing existing security solutions using the proposed model so to identify the sectors where CPS security is still lacking. en_US
dc.language.iso en en_US
dc.publisher AIS Electronic Library en_US
dc.relation.ispartofseries Worklist;18748
dc.subject Risk Analysis en_US
dc.subject Cyber physical systems en_US
dc.subject Security en_US
dc.subject Stuxnet en_US
dc.subject Risk Model en_US
dc.title A threat-vulnerability based risk analysis model for cyber physical system security en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Ledwaba, L., & Venter, H. (2017). A threat-vulnerability based risk analysis model for cyber physical system security. AIS Electronic Library. http://hdl.handle.net/10204/9613 en_ZA
dc.identifier.chicagocitation Ledwaba, Lehlogonolo, and HS Venter. "A threat-vulnerability based risk analysis model for cyber physical system security." (2017): http://hdl.handle.net/10204/9613 en_ZA
dc.identifier.vancouvercitation Ledwaba L, Venter H, A threat-vulnerability based risk analysis model for cyber physical system security; AIS Electronic Library; 2017. http://hdl.handle.net/10204/9613 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Ledwaba, Lehlogonolo AU - Venter, HS AB - The ability to network machinery and devices that are otherwise isolated is highly attractive to industry. This has led to growth in the use of cyber-physical systems (CPSs) with existing infrastructure. However, coupling physical and cyber processes leaves CPSs vulnerable to security attacks. A threat-vulnerability based risk model is developed through a detailed analysis of CPS security attack structures and threats. The Stuxnet malware attack is used to test the viability of the proposed model. An analysis of the Natanz system shows that, with an actual case security-risk score at Mitigation level 5, the infested facilities barely avoided a situation worse than the one which occurred. The paper concludes with a discussion on the need for risk analysis as part of CPS security and highlights the future work of modelling and comparing existing security solutions using the proposed model so to identify the sectors where CPS security is still lacking. DA - 2017-01 DB - ResearchSpace DP - CSIR KW - Risk Analysis KW - Cyber physical systems KW - Security KW - Stuxnet KW - Risk Model LK - https://researchspace.csir.co.za PY - 2017 SM - 978-0-9981331-0-2 T1 - A threat-vulnerability based risk analysis model for cyber physical system security TI - A threat-vulnerability based risk analysis model for cyber physical system security UR - http://hdl.handle.net/10204/9613 ER - en_ZA


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