FARIMA model-based communication traffic anomaly detection in intelligent electric power substations

FARIMA model-based communication traffic anomaly detection in intelligent electric power substations

The technological advances of intelligent electric substations have significantly improved the operational performance of power utilities by incorporating advanced monitoring and control functionalities. The data traffic patterns in substation communication network (SCN) need to be better understood...

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Bibliographic Details
Main Authors: Qiang Yang, Weijie Hao, Leijiao Ge, Wei Ruan, Fujian Chi
Format: Article
Language:English
Published: Wiley 2019-03-01
Series:IET Cyber-Physical Systems
Subjects:
power engineering computing
substations
telecommunication traffic
security of data
protocols
FARIMA model-based communication traffic anomaly detection
intelligent electric power substations
intelligent electric substations
operational performance
data traffic patterns
substation communication network
SCN performance
cyber-attacks
SCN traffic flow
anomaly detection solution
collected SCN data traffic
voltage 110.0 kV
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5052

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https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5052

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