Implementing Secure Routable GOOSE and SV Messages Based on IEC 61850-90-5

Ustun, Taha Selim; Farooq, Shaik Mullapathi; Hussain, S. M. Suhail

doi:10.1109/access.2020.2971011

Cited by 33 publications

(13 citation statements)

References 21 publications

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“…To observe the performance of these algorithms, concerning the GOOSE frame, the beginning of the APDU field until its end has been used, and for R-GOOSE from the beginning of the session identifier field to the end of the APDU field has been considered. This is to compare the results with those obtained by the authors of [30,31], who carried out tests with AES and HMAC-SHA algorithms.…”

Section: Experiments Resultsmentioning

confidence: 96%

Analysis of Cryptographic Algorithms to Improve Cybersecurity in the Industrial Electrical Sector

Alonso,

Samaniego,

Farias

et al. 2024

Applied Sciences

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This article provides a general overview of the communication protocols used in the IEC61850 standard for the automation of electrical substations. Specifically, it examines the GOOSE and R-GOOSE protocols, which are used for exchanging various types of information. The article then presents real cases of cyber attacks on the industrial sector, highlighting the importance of addressing cybersecurity in the IEC61850 standard. The text presents security drawbacks of the communication protocols mentioned earlier and briefly explains two algorithms defined in the IEC61850 standard to address them. However, the authors suggest that having only a couple of algorithms may not be sufficient to ensure digital security in substations. This article presents a study on the cryptographic algorithms ChaCha20 and Poly1305. The purpose of the study is to experimentally verify their adaptation to the strict time requirements that GOOSE must meet for their operation. These algorithms can operate independently or in combination, creating an Authenticated Encryption with Associated Data (AEAD) algorithm. Both algorithms were thoroughly reviewed and tested using GOOSE and R-GOOSE frames generated by the S-GoSV software. The computational time required was also observed. The frames were analysed using the Wireshark software. It was concluded that the algorithms are suitable for the communication requirements of electrical substations and can be used as an alternative to the cryptographic algorithms proposed under the IEC61850 standard.

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Section: Experiments Resultsmentioning

confidence: 96%

Analysis of Cryptographic Algorithms to Improve Cybersecurity in the Industrial Electrical Sector

Alonso,

Samaniego,

Farias

et al. 2024

Applied Sciences

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“…R-GOOSE has security data field inside the data frame, which allows protecting the data flow from cyber attacks, while the original GOOSE does not. The details about GOOSE and R-GOOSE can be founded in [20].…”

Section: B Cyber Attack Formulationmentioning

confidence: 99%

Operational Issues on Adaptive Protection of Microgrids Due to Cyber Attacks

Gutiérrez-Rojas

Demidov

Kontou

et al. 2023

IEEE Trans. Circuits Syst. II

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This paper shows how false data injection attacks (FDIAs) affect adaptive projection in microgrids. Specifically, we implemented a directional over-current relay in the CIGRE low voltage benchmark system to carry out experiments to manipulate protection decisions via cyber-attacks. The aim of the newly proposed cyber-attack is to cause false relay tripping and unbalanced conditions in microgrid that can result in power outages and blackouts. The proposed study has been validated on commercial relays using a real-time digital simulator equipped with the IEC 61850 standard communication protocol. These results allow the power systems engineers to understand the cyber-physical interactions more closely and adapt their protection schemes accordingly.

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“…Power systems now have additional measurement, communication, and control capabilities to address these problems. This allows for the acquisition of more precise information regarding the grid's current state and the making of decisions in quasi-real time [3]. The Smart Grid (SG) is the aggregate name for this contemporary power system configuration.…”

Section: Introductionmentioning

confidence: 99%

Detection of False Data Injection Attacks in Smart-Grid Systems: Benchmarking Deep Learning Techniques

2023

JEEE

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In essence, smart grids are electrical networks that transmit and distribute electricity in a reliable, effective manner using information and communication technology (ICT). Trust and security are of the utmost importance. False data injection (FDI) attacks are one of the most serious new security problems, and they can drastically raise the price of the energy distribution process. However, rather than smart grid infrastructures, the majority of current research focuses on FDI defenses for conventional electricity networks. By utilizing spatial-temporal correlations between grid components, we create an effective and real-time technique to identify FDI attacks in smart grids called a deep learning framework. We show that the suggested method offers an accurate and dependable solution using realistic simulations based on the smart grid compared to the benchmarked techniques.

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Implementing Secure Routable GOOSE and SV Messages Based on IEC 61850-90-5

Cited by 33 publications

References 21 publications

Analysis of Cryptographic Algorithms to Improve Cybersecurity in the Industrial Electrical Sector

Analysis of Cryptographic Algorithms to Improve Cybersecurity in the Industrial Electrical Sector

Operational Issues on Adaptive Protection of Microgrids Due to Cyber Attacks

Detection of False Data Injection Attacks in Smart-Grid Systems: Benchmarking Deep Learning Techniques

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