An Overview About Detection of Cyber-Attacks on Power SCADA Systems

Figueiredo, Hugo; Ferst, Matheus K.; Denardin, Gustavo Weber

doi:10.1109/cobep/spec44138.2019.9065353

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2023

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Cited by 2 publications

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“…Establishing DG at various points of an existing network affects the primary contour of the electric network. This causes alterations in voltage and current at different nodal points and also increases the points of entry into the electric network (de Figueiredo, Ferst, & Denardin, 2019). The total Smart Grid's communication technologies and supporting infrastructure are directly impacted by the scale of the electrical network (Talha & Ray, 2016).…”

Section: Introductionmentioning

confidence: 99%

Proposed algorithm for smart grid DDoS detection based on deep learning

Diaba

Elmusrati

2023

Neural Networks

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Section: Introductionmentioning

confidence: 99%

Proposed algorithm for smart grid DDoS detection based on deep learning

Diaba

Elmusrati

2023

Neural Networks

View full text Add to dashboard Cite

Assess: anomaly sensitive state estimation with streaming systems

Brand,

Engel,

Lehnhoff

2023

Energy Inform

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Information and communication technology (ICT) is an increasing part of modern power systems, which are, therefore, recognised as cyber-physical energy system (CPESs). The increase of ICT affects the situational awareness in CPESs, which is traditionally solely based on information about the power system but not about the ICT system. However, CPESs are facing various challenges regarding the integrity, correctness, and availability of process data due to the interconnection with ICT. Examples are stealthy false data injection attack (FDIAs). This paper pursues a holistic approach to describe the quality of process data, which brings together aspects like integrity, correctness, and availability in multivariate trust values. The arising research question this paper deals with is, how multivariate trust in physical measurements in a CPES can be modelled, estimated, and integrated into situational awareness. A proposed framework implements a context-sensitive and multivariate trust model as well as a trust sensitive state estimation. While these two artefacts are already published, the focus of this paper is on the implementation of the framework and the fulfilment of the requirements for timeliness, interoperability, flexibility, and scalability. It is evaluated in three different scenarios with CIGRE and IEEE benchmark grids.

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An Overview About Detection of Cyber-Attacks on Power SCADA Systems

Cited by 2 publications

References 49 publications

Proposed algorithm for smart grid DDoS detection based on deep learning

Proposed algorithm for smart grid DDoS detection based on deep learning

Assess: anomaly sensitive state estimation with streaming systems

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