Standard
Anomaly Detection in Smart Grids based on Software Defined Networks. / Jung, Oliver
; Smith, Paul; Magin, Julian et al.
SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems. ed. / Cornel Klein; Brian Donnellan; Markus Helfert. 2019. p. 157-164 (SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Jung, O
, Smith, P, Magin, J & Reuter, L 2019,
Anomaly Detection in Smart Grids based on Software Defined Networks. in C Klein, B Donnellan & M Helfert (eds),
SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems. SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems, pp. 157-164.
https://doi.org/10.5220/0007752501570164APA
Jung, O.
, Smith, P., Magin, J., & Reuter, L. (2019).
Anomaly Detection in Smart Grids based on Software Defined Networks. In C. Klein, B. Donnellan, & M. Helfert (Eds.),
SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems (pp. 157-164). (SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems).
https://doi.org/10.5220/0007752501570164Vancouver
Jung O
, Smith P, Magin J, Reuter L.
Anomaly Detection in Smart Grids based on Software Defined Networks. In Klein C, Donnellan B, Helfert M, editors, SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems. 2019. p. 157-164. (SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems). doi: 10.5220/0007752501570164
Author
Jung, Oliver
; Smith, Paul ; Magin, Julian et al. /
Anomaly Detection in Smart Grids based on Software Defined Networks. SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems. editor / Cornel Klein ; Brian Donnellan ; Markus Helfert. 2019. pp. 157-164 (SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems).
Bibtex
@inproceedings{749c4d9b440645ee8bb48e22ddc2e78f,
title = "Anomaly Detection in Smart Grids based on Software Defined Networks.",
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.",
keywords = "Anomaly Detection, Information Theory, Network Security, Smart Grid, Software Defined Networks",
author = "Oliver Jung and Paul Smith and Julian Magin and Lenhard Reuter",
year = "2019",
doi = "10.5220/0007752501570164",
language = "English",
series = "SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems",
pages = "157--164",
editor = "Cornel Klein and Brian Donnellan and Markus Helfert",
booktitle = "SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems",
}
RIS
TY - GEN
T1 - Anomaly Detection in Smart Grids based on Software Defined Networks.
AU - Jung, Oliver
AU - Smith, Paul
AU - Magin, Julian
AU - Reuter, Lenhard
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Anomaly Detection
KW - Information Theory
KW - Network Security
KW - Smart Grid
KW - Software Defined Networks
UR - http://www.scopus.com/inward/record.url?scp=85067488607&partnerID=8YFLogxK
U2 - 10.5220/0007752501570164
DO - 10.5220/0007752501570164
M3 - Conference contribution/Paper
T3 - SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems
SP - 157
EP - 164
BT - SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems
A2 - Klein, Cornel
A2 - Donnellan, Brian
A2 - Helfert, Markus
ER -
