sfiCAN: A Star-Based Physical Fault-Injection Infrastructure for CAN Networks

Gessner, David; Barranco, Manuel; Ballesteros, Alberto; Proenza, Julián

doi:10.1109/tvt.2013.2284030

Cited by 11 publications

(10 citation statements)

References 41 publications

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“…Compared to the conventional topology, a quantitative evaluation of profits entailed by the star disposition was conducted by virtue of a stochastic model in [59]. In addition, a CAN star‐based fault injector was presented in [60]. As a result, the star‐physical disposition accelerated the different diagnosis interventions.…”

Section: Requirements Of Tomorrow's Vehicles and Related Work About Cmentioning

confidence: 99%

“…Initially, recognising the origins of CAN failure helps to better understand the system‐level diagnosis aims and challenges. The authors in [32, 60, 62, 87] drew attention to several fault sources. In particular, Suwatthikul et al [88] classified these sources into peripheral (wiring and connecters faults) and internal (ECUs faults).…”

Section: Can System‐level Diagnosismentioning

confidence: 99%

“…With a prior comprehension of the CAN node behaviour, routers have been programmed to isolate faults [90]. In the proposal of Gessner et al [60], a diagnosis tool infrastructure afforded a spatial and time increased resolution for injecting node fault scenarios. A CAN‐hub has enabled not only the entire controllability for fault injection, but also a high observability of node reactions against anomalies.…”

Section: Can System‐level Diagnosismentioning

confidence: 99%

“…Thus, it is crucial to analyse complications coming from adding materials to the network. Nevertheless, this concept remains efficient in providing automotive offline diagnosis boards [60, 91]. Notably, the use of multi‐core automotive ECUs rather than single‐core ones in the near future may restore the interest in the material diagnosis [92].…”

Section: Can System‐level Diagnosismentioning

confidence: 99%

See 3 more Smart Citations

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Lakhal

Nasri

Adouane

et al. 2020

IET intell. transp. syst

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The in‐vehicular networked control system is among the most critical embedded processes. The controller area network (CAN) has prevailed intra‐vehicle communication for decades. Meanwhile, requirements of future transportation systems are expected to emphasise the in‐vehicle communication complexity, which endangers the reliability/safety of the intelligent navigation. At first, this study reviews the recent solutions proposed to overcome the CAN expanding complexity. Challenges that tomorrow's intelligent vehicles may raise for CAN reliability are investigated. The comprehensive coverage of current research efforts to remove the impact of these challenges is presented. Further, the in‐vehicle system reliability of future automated vehicles is also related to the fault diagnosis performances. Hence, different classes of system‐level diagnosis strategies are compared relatively to the requirements of automotive embedded networks. Furthermore, to thoroughly cover CAN reliability engineering issues, focus is given to the automotive validation techniques. The hardware in the loop, real‐time analysis and computer‐aided‐design tools intervene in various phases along the in‐vehicular network life cycle. Parameters that stand behind the efficiency and accuracy of these techniques in validating the new generation of vehicles are analysed. The authors finally draw some deductive predictions about the future directions related to the reliability of the intelligent transportation system in‐vehicular communication.

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Section: Requirements Of Tomorrow's Vehicles and Related Work About Cmentioning

confidence: 99%

Section: Can System‐level Diagnosismentioning

confidence: 99%

Section: Can System‐level Diagnosismentioning

confidence: 99%

Section: Can System‐level Diagnosismentioning

confidence: 99%

See 2 more Smart Citations

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Lakhal

Nasri

Adouane

et al. 2020

IET intell. transp. syst

View full text Add to dashboard Cite

show abstract

“…Seu principal objetivo é analisar o comportamento do PROFIBUS na ocorrência de falhas e também a interferência dos mecanismos de tolerância a falhas no desempenho do protocolo. O sfiCAN -star-based physical fault injector for CAN (Gessner et al 2014) é um injetor de falhas físicas para o protocolo CAN, que tem por objetivo testar o comportamento dos nodos de uma rede CAN na presença de erros de canal, em particular dos controladores de nodos CAN e do software executando neles. Apesar da proximidade, nenhum dos trabalhos citados contempla os requisitos necessários para o nosso ambiente de avaliação.…”

Section: Injeção De Falhas E Trabalhos Relacionadosunclassified

Arquitetura para injeção de falhas em protocolos de comunicação segura em aplicações críticas

Cechin

Weber²,

Netto³

2016

Anais Do XVII Workshop De Testes E Tolerância a Falhas (WTF 2016)

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Em aplicações industriais críticas, falhas podem provocar a morte de pessoas ou danos irreparáveis ao meio ambiente. Devido ao ambiente hostil, a comunicação é um dos elos mais frágeis do sistema. A comunicação através de protocolos TCP/IP ou barramentos de campo apresenta taxas de defeito incompatíveis com os requisitos impostos a aplicações críticas. Quando o risco de acidentes fatais é muito alto, protocolos de comunicação segura, tais como o PROFIsafe, openSafety e o Safety-over-EtherCAT, devem ser empregados. Entretanto, para cada novo equipamento, o protocolo deve ser implementado e validado obedecendo estritamente às recomendações de normas de segurança como a IEC 61508 e a IEC 61784-3. As normas exigem injeção de falhas em todas as fases de teste. Para facilitar a aplicação destas normas por parte dos desenvolvedores e testadores, o artigo propõe a arquitetura de um ambiente de injeção de falhas para validação de protocolos de comunicação sugeridos pelas normas de segurança. Para atender aos requisitos de baixo custo e alta precisão, a arquitetura proposta baseia-se no uso de hardware genérico, com o emprego eventual de adaptadores de hardware, e de software específico.

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An Approach to Address Safety as Non-Functional Requirements in Distributed Vehicular Control Systems

Roque

Pohren

Freitas

et al. 2019

J Control Autom Electr Syst

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sfiCAN: A Star-Based Physical Fault-Injection Infrastructure for CAN Networks

Cited by 11 publications

References 41 publications

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Arquitetura para injeção de falhas em protocolos de comunicação segura em aplicações críticas

An Approach to Address Safety as Non-Functional Requirements in Distributed Vehicular Control Systems

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