Anomaly Detection in Smart Grids based on Software Defined Networks

Oliver Jung, Paul Smith, Julian Magin, Lenhard Reuter

2019

Abstract

Software-defined networking (SDN) is a networking architecture that increasingly receives attention from power grid operators. The basic principle is the separation of the packet forwarding data plane and the central controller implemented in software that provides a programmable network control plane. SDN can provide various functions that facilitate the operation of smart grid communication networks, as it can support network management, quality of service (QoS) enforcement, network security, and network slicing. Due to periodical updates of the central controller, a real-time view of the network is available that allows for detecting attacks like e.g. denial-of-service (DoS) attack or network scanning. These kinds of attacks can be detected by applying anomaly detection mechanisms on the gathered information. 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 information collected by a popular OpenFlow SDN controller can be used to detect attacks in smart grid communication networks.

Paper Citation

in Harvard Style

Jung O., Smith P., Magin J. and Reuter L. (2019). Anomaly Detection in Smart Grids based on Software Defined Networks.In Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-373-5, pages 157-164. DOI: 10.5220/0007752501570164

in Bibtex Style

@conference{smartgreens19,
author={Oliver Jung and Paul Smith and Julian Magin and Lenhard Reuter},
title={Anomaly Detection in Smart Grids based on Software Defined Networks},
booktitle={Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2019},
pages={157-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007752501570164},
isbn={978-989-758-373-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Anomaly Detection in Smart Grids based on Software Defined Networks
SN - 978-989-758-373-5
AU - Jung O.
AU - Smith P.
AU - Magin J.
AU - Reuter L.
PY - 2019
SP - 157
EP - 164
DO - 10.5220/0007752501570164