Authors:
Oliver Jung
;
Paul Smith
;
Julian Magin
and
Lenhard Reuter
Affiliation:
Center for Digital Safety and Security, Austrian Institute of Technology, Vienna and Austria
Keyword(s):
Smart Grid, Software Defined Networks, Network Security, Anomaly Detection, Information Theory.
Related
Ontology
Subjects/Areas/Topics:
Architectures for Smart Grids
;
Computer-Supported Education
;
Energy and Economy
;
Information Technologies Supporting Learning
;
Security and Privacy
;
Smart Grids
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 coll
ected by a popular OpenFlow SDN controller can be used to detect attacks in smart grid communication networks.
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