A Study on Mitigation Techniques for SCADA-Driven Cyber-Physical Systems (Position Paper)

Segovia, Mariana; Cavalli, Ana; Cuppens, Nora; García-Alfaro, Joaquín

doi:10.1007/978-3-030-18419-3_17

Cited by 3 publications

(14 citation statements)

References 14 publications

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“…Graceful Degradation / Limp Mode (e. g., [36]- [38]) Isolation Restructure (e.g., Software Reflection [15]) Dynamic Deployment of Policies (e. g., [39]) Rescue Workflow Relocation/Migration (e. g., [40], [41] Model-based Response (e. g., [43], [44])…”

Section: A Detectionmentioning

confidence: 99%

“…-HW/SW Redundancy [11]- [13], [15], [17]- [20]. Redundancy combined with a voter allows to mask system failures.…”

Section: A Detectionmentioning

confidence: 99%

“…-Model-based Response and State Estimation [15], [21]. System models, e. g., Kalman filter for state estimation [60], [61], or parameter estimation techniques, like regression analysis, are not only a temporary solution to mitigate attacks, such as replay and masquerading attacks, they can also be used to alert the system and log important information for forensics [44].…”

Section: B Mitigationmentioning

confidence: 99%

“…-Graceful Degradation / Limp Mode [13], [15]. Given the extended automated driving functions of future vehicles, it is of utmost importance to implement more sophisticated solutions that ensure the passengers safety when key components in the vehicle fail or are subject to attacks.…”

Section: B Mitigationmentioning

confidence: 99%

“…Restructuring components within a subsystem aims at providing resilience through reconfiguration of affected components. Segovia et al [15] explore software reflection as means to mitigate attacks.…”

Section: B Mitigationmentioning

confidence: 99%

See 4 more Smart Citations

REMIND: A Framework for the Resilient Design of Automotive Systems

Rosenstatter

Strandberg

Jolak

et al. 2020

2020 IEEE Secure Development (SecDev)

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In the past years, great effort has been spent on enhancing the security and safety of vehicular systems. Current advances in information and communication technology have increased the complexity of these systems and lead to extended functionalities towards self-driving and more connectivity. Unfortunately, these advances open the door for diverse and newly emerging attacks that hamper the security and, thus, the safety of vehicular systems. In this paper, we contribute to supporting the design of resilient automotive systems. We review and analyze scientific literature on resilience techniques, fault tolerance, and dependability. As a result, we present the REMIND resilience framework providing techniques for attack detection, mitigation, recovery, and resilience endurance. Moreover, we provide guidelines on how the REMIND framework can be used against common security threats and attacks and further discuss the trade-offs when applying these guidelines.

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Section: A Detectionmentioning

confidence: 99%

“…-HW/SW Redundancy [11]- [13], [15], [17]- [20]. Redundancy combined with a voter allows to mask system failures.…”

Section: A Detectionmentioning

confidence: 99%

Section: B Mitigationmentioning

confidence: 99%

Section: B Mitigationmentioning

confidence: 99%

Section: B Mitigationmentioning

confidence: 99%

See 3 more Smart Citations

REMIND: A Framework for the Resilient Design of Automotive Systems

Rosenstatter

Strandberg

Jolak

et al. 2020

2020 IEEE Secure Development (SecDev)

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Reflective Attenuation of Cyber-Physical Attacks

Segovia¹,

Cavalli²,

Cuppens³

et al. 2020

Computer Security

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SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0

2022

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Recent technological advances encompassed by the smart factory concept have fundamentally changed industrial control systems in the way they are structured and how they operate. Majority of these changes affect Supervisory Control And Data Acquisition (SCADA) systems, shifting them to a higher level of interoperability, heterogeneous networks, big data and toward internet technologies and services in general. However, this transformation does not affect all SCADA systems equally. The immediate industrial environment and controlled processes have a significant impact as well. This paper presents a holistic approach to SCADA systems implemented in continuous flow production control within the steel industry production environment. We outline the multi-layer architecture of the SCADA control framework and the aspects of interoperability and interconnection within the architecture reference models, together with the research challenges and opportunities arising from the recent rapid increasement of the industrial control systems complexity and digital transformation under the Industry 4.0 paradigm, resulting in disrupting levels of the traditional automation pyramid based on Purdue model toward a higher level of integration and interoperability enabling cross-level data exchange empowered by the Industrial Internet of Things. Furthermore, the paper addresses the problem of proprietary SCADA systems and elaborates the causal correlation between SCADA quality requirements and adoption of new technology in relation to the specific industrial environment of the steel manufacturing process.

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A Study on Mitigation Techniques for SCADA-Driven Cyber-Physical Systems (Position Paper)

Cited by 3 publications

References 14 publications

REMIND: A Framework for the Resilient Design of Automotive Systems

REMIND: A Framework for the Resilient Design of Automotive Systems

Reflective Attenuation of Cyber-Physical Attacks

SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0

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