Failure Mode and Effect Analysis for Cyber-Physical Systems

被引:14
作者
Oliveira, Joao [1 ]
Carvalho, Goncalo [2 ]
Cabral, Bruno [2 ]
Bernardino, Jorge [1 ,2 ]
机构
[1] Polytech Inst Coimbra, Inst Super Engn Coimbra ISEC, P-3030199 Coimbra, Portugal
[2] Univ Coimbra, Ctr Informat & Syst Univ Coimbra CISUC, Dept Informat Engn, P-3030290 Coimbra, Portugal
来源
FUTURE INTERNET | 2020年 / 12卷 / 11期
关键词
cyber-physical systems; failure mode and effect analysis; risk priority number; communications-based train control; COMMUNICATION; NUMBERS;
D O I
10.3390/fi12110205
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cyber-Physical Systems (CPS) are a prominent component of the modern digital transformation, which combines the dynamics of the physical processes with those of software and networks. Critical infrastructures have built-in CPS, and assessing its risk is crucial to avoid significant losses, both economic and social. As CPS are increasingly attached to the world's main industries, these systems' criticality depends not only on software efficiency and availability but also on cyber-security awareness. Given this, and because Failure Mode and Effect Analysis (FMEA) is one of the most effective methods to assess critical infrastructures' risk, in this paper, we show how this method performs in the analysis of CPS threats, also exposing the main drawbacks concerning CPS risk assessment. We first propose a risk prevention analysis to the Communications-Based Train Control (CBTC) system, which involves exploiting cyber vulnerabilities, and we introduce a novel approach to the failure modes' Risk Priority Number (RPN) estimation. We also propose how to adapt the FMEA method to the requirement of CPS risk evaluation. We applied the proposed procedure to the CBTC system use case since it is a CPS with a substantial cyber component and network data transfer.
引用
收藏
页码:1 / 18
页数:18
相关论文
共 32 条
  • [1] Failure Detection and Prevention for Cyber-Physical Systems Using Ontology-Based Knowledge Base
    Ali, Nazakat
    Hong, Jang-Eui
    [J]. COMPUTERS, 2018, 7 (04)
  • [2] In Quest of Benchmarking Security Risks to Cyber-Physical Systems
    Amin, Saurabh
    Schwartz, Galina A.
    Hussain, Alefiya
    [J]. IEEE NETWORK, 2013, 27 (01): : 19 - 24
  • [3] [Anonymous], 2003, TECHNOMETRICS
  • [4] Binbin Chen, 2015, Computer Safety, Reliability and Security. SAFECOMP 2015 Workshops, ASSURE, DECSoS, ISSE, ReSA4CI and SASSUR. Proceedings: LNCS 9338, P277, DOI 10.1007/978-3-319-24249-1_24
  • [5] A combined multi-criteria approach to support FMECA analyses: A real-world case
    Carpitella, Silvia
    Certa, Antonella
    Izquierdo, Joaquin
    La Fata, Concetta Manuela
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2018, 169 : 394 - 402
  • [6] Caruso M., 2017, JRC TECH REP, V2017, DOI [10.2760/798906, DOI 10.2760/798906]
  • [7] A Critical Comparison of Alternative Risk Priority Numbers in Failure Modes, Effects, and Criticality Analysis
    Ciani, Lorenzo
    Guidi, Giulia
    Patrizi, Gabriele
    [J]. IEEE ACCESS, 2019, 7 : 92398 - 92409
  • [8] Radio Communication for Communications-Based Train Control (CBTC): A Tutorial and Survey
    Farooq, Jahanzeb
    Soler, Jose
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2017, 19 (03) : 1377 - 1402
  • [9] Gabinete de PrevencAo e InvestigacAo de Acidentes com Aeronaves e de Acidentes Ferroviarios (GPIAAF) (in Portuguese), 2018, TECHNICAL REPORT
  • [10] Gilchrist W., 1993, International Journal of Quality Reliability Management, V10, DOI DOI 10.1108/02656719310040105