[PDF] Anomaly Detection in Smart Grids based on Software Defined Networks
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In this position paper, we highlight the benefits SDN can bring to smart grids, address the implications of SDN on network security, and finally describe how ...
In this position paper, we highlight the benefits SDN can bring to smart grids, address the implications of SDN on network security, and finally describe how ...
May 3, 2019 · In this position paper, we highlight the benefits SDN can bring to smart grids, address the implications of SDN on network security, and finally ...
Jul 16, 2024 · In this position paper, we highlight the benefits SDN can bring to smart grids, address the implications of SDN on network security, and finally ...
Therefore, the authors propose using Shannon entropy to detect abnormalities in the communication network of an SG by analyzing the distribution of SDN traffic ...
In this position paper, we highlight the benefits SDN can bring to smart grids, address the implications of SDN on network security, and finally describe how ...
Original language, English. Title of host publication, SMARTGREENS 2019. Number of pages, 1. Publication status, Published - 2019.
[24] This paper introduces a hybrid approach for detecting anomalies, classifying their types, and identifying their origins. They utilized a state estimation ...
Experiments show that models based on recurrent neural networks can be a viable alternative. Detection of energy theft or fraudulent consumption is addressed ...
Jan 17, 2022 · This paper develops an anomaly detection model for a real-world smart grid system implemented on a hardware-based testbed.