# Security Aspects of Internet of Things aided Smart Grids: a Bibliometric Survey

arXiv: https://arxiv.org/abs/2005.00915 · HTML: https://mlsanity.com/paper/2005.00915/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 May 2020.

## Built on by (most cited first, 5 of 5)

- [A Secure Federated Learning Framework for Residential Short Term Load Forecasting](https://mlsanity.com/paper/2209.14547/) (2022)
- [A Comprehensive Survey on the Cyber-Security of Smart Grids: Cyber-Attacks, Detection, Countermeasure Techniques, and Future Directions](https://mlsanity.com/paper/2207.07738/) (2022)
- [An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids](https://mlsanity.com/paper/2102.06039/) (2021)
- [Unsupervised Ensemble Methods for Anomaly Detection in PLC-based Process Control](https://mlsanity.com/paper/2302.02097/) (2023)
- [Cybersecurity Challenges of Power Transformers](https://mlsanity.com/paper/2302.13161/) (2023)

## 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.