A security and authentication layer for SCADA/DCS applications

Homay, Aydin; Chrysoulas, Christos; Boudani, Brahim El; Sousa, Mário de; Wollschlaeger, Martin

doi:10.1016/j.micpro.2020.103479

Cited by 7 publications

(6 citation statements)

References 3 publications

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“…According to the business and communication requirements supported, communication networks in industrial systems can be divided into four network levels (from top to bottom) [25][26][27]. 1.…”

Section: Hierarchy and Characteristics Of Communication Networkmentioning

confidence: 99%

Key Issues on Integrating 5G into Industrial Systems

Sun,

Chen,

Wang

et al. 2024

Electronics

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Under the auspice of further developing 5G mobile communication technology and integrating it with the latest advancements in the field of Industrial Internet-of-Things, this study conducts in-depth research and detailed analysis on the combination of 5G with industrial systems based on composite structures, communication network architectures, wireless application scenarios, and communication protocols. The status quo, development trend, and necessity of 5G mobile communication technology are explored and its potential in industrial applications is analyzed. Based on the current practical development level of 5G technology, by considering different requirements for bandwidth, real-time performance, and reliability in communication networks of industrial systems, this study proposes three feasible paths for the integration between 5G and industrial systems, including the method to use 5G in place of field buses. Finally, by introducing real-world cases, this study has successfully demonstrated the integration of 5G and industrial systems by extending 5G terminals as field bus gateways. This study provides valuable references for research and practice in related fields.

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Section: Hierarchy and Characteristics Of Communication Networkmentioning

confidence: 99%

Key Issues on Integrating 5G into Industrial Systems

Sun,

Chen,

Wang

et al. 2024

Electronics

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“…Supervisory control and data acquisition (SCADA) systems have become an integral part of modern ICSs. SCADA [58], [59] are ICS used to monitor and control critical distributed systems that span large geographic areas. Examples of such systems include electric power transmission and water distribution systems, and facilities in single sites such as manufacturing industries.…”

Section: B Related Workmentioning

confidence: 99%

Communications Security in Industry X: A Survey

Ahmad¹,

Rodríguez²,

Kumar³

et al. 2023

Preprint

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“…Reference (Homay et al 2020) has implemented a robust security control solution as a logic level security on DCS and SCADA systems. In order to establish trust among DCS device components, the developed model ensured message integrity, but this was not considered as the protection layer on industrial automation systems.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, unsupervised learning techniques, capable of detecting cyber-attacks without a need for labels, are deemed best for this task (Keshk et al 2021, Gumaei et al 2020. However, the most existing unsupervised techniques are not able to deal with the nonlinearity and inherent correlations of multivariate time series, which represent a considerable amount of real-world data, including data streams generated by sensors in CPSs (Hu et al 2019;Rodofile et al 2019;Homay et al 2020). Therefore, a new unsupervised technique independent from any prior knowledge of cyberattacks is needed to detect intrusions in CPSs.…”

Section: Introductionmentioning

confidence: 99%

On the performance metrics for cyber-physical attack detection in smart grid

2022

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Supervisory Control and Data Acquisition (SCADA) systems play an important role in Smart Grid. Though the rapid evolution provides numerous advantages it is one of the most desired targets for malicious attackers. So far security measures deployed for SCADA systems detect cyber-attacks, however, the performance metrics are not up to the mark. In this paper, we have deployed an intrusion detection system to detect cyber-physical attacks in the SCADA system concatenating the Convolutional Neural Network and Gated Recurrent Unit as a collective approach. Extensive experiments are conducted using a benchmark dataset to validate the performance of the proposed intrusion detection model in a smart metering environment. Parameters such as accuracy, precision, and false-positive rate are compared with existing deep learning models. The proposed concatenated approach attains 98.84% detection accuracy which is much better than existing techniques.

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A security and authentication layer for SCADA/DCS applications

Cited by 7 publications

References 3 publications

Key Issues on Integrating 5G into Industrial Systems

Key Issues on Integrating 5G into Industrial Systems

Communications Security in Industry X: A Survey

On the performance metrics for cyber-physical attack detection in smart grid

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