Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Behavior Analysis and Anomaly Detection for a Digital Substation on Cyber-Physical System

Authors
Kwon, YoojinLee, Sang YoumKing, RalphLim, Jong InKim, Huy Kang
Issue Date
15-3월-2019
Publisher
MDPI
Keywords
cyber-physical system; digital substation; IEC 62351-7; network management system; IEC 61850; CPS testbed
Citation
ELECTRONICS, v.8, no.3
Indexed
SCIE
SCOPUS
Journal Title
ELECTRONICS
Volume
8
Number
3
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/66655
DOI
10.3390/electronics8030326
ISSN
2079-9292
Abstract
The electric power system infrastructure has begun to adopt digital information technologies such as transmission control protocol/internet protocol (TCP/IP) and Ethernet infrastructures. With this adoption, information technology-centric network and system management (NSM) tools are used to manage the intermediate communication systems and electric devices in digital substations. However, the technology to monitor the cyber-physical System (CPS) statistics for the intelligent electronic devices (IEDs) and serial communication for a digital substation does not exist yet. In this paper, we aim to propose cyber-physical analysis methodologies of a digital substation system, concerning issues of (1) International Electrotechnical Commission (IEC) 62351-7 based network and system management, (2) behavior analysis of the CPS, (3) cyber-physical anomaly detection systems, and (4) a testbed for a digital substation. By collaborating with Electric Power Research Institute (EPRI), a cyber security testbed for the digital substation has been developed to implement the use cases and analyze potential security threats. Newly integrated methodologies for information handling are expected to lead to improved safety and reliability for the CPS of electric power grid systems.
Files in This Item
There are no files associated with this item.
Appears in
Collections
School of Cyber Security > Department of Information Security > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE