Security Aspects of Internet of Things aided Smart Grids: a Bibliometric Survey
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Abstract (arXiv)
The integration of sensors and communication technology in power systems, known as the smart grid, is an emerging topic in science and technology. One of the critical issues in the smart grid is its increased vulnerability to cyber threats. As such, various types of threats and defense mechanisms are proposed in literature. This paper offers a bibliometric survey of research papers focused on the security aspects of Internet of Things (IoT) aided smart grids. To the best of the authors' knowledge, this is the very first bibliometric survey paper in this specific field. A bibliometric analysis of all journal articles is performed and the findings are sorted by dates, authorship, and key concepts. Furthermore, this paper also summarizes the types of cyber threats facing the smart grid, the various security mechanisms proposed in literature, as well as the research gaps in the field of smart grid security.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 May 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 2.
5 papers.
- 2022A Secure Federated Learning Framework for Residential Short Term Load Forecastingcited by 7
- 2022A Comprehensive Survey on the Cyber-Security of Smart Grids: Cyber-Attacks, Detection, Countermeasure Techniques, and Future Directionscited by 2
- 2021An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Gridscited by 1
- 2023Unsupervised Ensemble Methods for Anomaly Detection in PLC-based Process Controlcited by 1
- 2023Cybersecurity Challenges of Power Transformerscited by 0
- 2023Cybersecurity Challenges of Power Transformers25 Feb 2023
- 2023Unsupervised Ensemble Methods for Anomaly Detection in PLC-based Process Control4 Feb 2023
- 2022A Secure Federated Learning Framework for Residential Short Term Load Forecasting29 Sep 2022
- 2022A Comprehensive Survey on the Cyber-Security of Smart Grids: Cyber-Attacks, Detection, Countermeasure Techniques, and Future Directions22 Jun 2022
- 2021An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids10 Feb 2021