HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Toward Resilient Smart Grid Communications Using Distributed SDN with ML-Based Anomaly Detection

Abstract : Next generation “Smart” systems, including cyber-physical systems like smart grid and Internet-of-Things, integrate control, communication and computation to achieve stability, efficiency and robustness of physical processes. While a great amount of research has gone towards building these systems, security in the form of resilient and fault-tolerant communications for smart grid systems is still immature. In this paper, we propose a hybrid, distributed and decentralized (HDD) SDN architecture for resilient Smart Systems. It provides a redundant controller design for fault-tolerance and fail-over operation, as well as parallel execution of multiple anomaly detection algorithms. Using the k-means clustering algorithm from the machine learning literature, it is shown that k-means can be used to produce a high accuracy (96.9%) of identifying anomalies within normal traffic. Furthermore, incremental k-means produces a slightly lower accuracy (95.6%) but demonstrated an increased speed with respect to k-means and fewer CPU and memory resources needed, indicating a possibility for scaling the system to much larger networks.
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/hal-02269741
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, August 23, 2019 - 11:16:00 AM
Last modification on : Friday, May 21, 2021 - 6:12:02 PM
Long-term archiving on: : Saturday, January 11, 2020 - 1:23:17 AM

File

470666_1_En_7_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Allen Starke, Janise Mcnair, Rodrigo Trevizan, Arturo Bretas, Joshua Peeples, et al.. Toward Resilient Smart Grid Communications Using Distributed SDN with ML-Based Anomaly Detection. International Conference on Wired/Wireless Internet Communication (WWIC), Jun 2018, Boston, MA, United States. pp.83-94, ⟨10.1007/978-3-030-02931-9_7⟩. ⟨hal-02269741⟩

Share

Metrics

Record views

71

Files downloads

66