Hybrid data‐driven physics model‐based framework for enhanced cyber‐physical smart grid security-Reference-Cited by-同舟云学术

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Hybrid data‐driven physics model‐based framework for enhanced cyber‐physical smart grid security

Published:2020-04-15 Issue:4 Volume:3 Page:445-453
ISSN:2515-2947
Container-title:IET Smart Grid
language:en
Short-container-title:IET Smart Grid

Author:

Ruben Cody¹^ORCID,Dhulipala Surya¹,Nagaraj Keerthiraj¹^ORCID,Zou Sheng¹,Starke Allen¹,Bretas Arturo¹,Zare Alina¹,McNair Janise¹

Affiliation:

1. Electrical and Computer EngineeringUniversity of Florida1064 Center DrGainesvilleFLUSA

Funder

National Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-stg.2019.0272

Reference40 articles.

1. FaragM.AzabM.MokhtarB.: ‘Cross‐layer security framework for smart grid: physical security layer’.IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) Istanbul Turkey 2014 pp.1–7

2. State Estimation in Electric Power Systems

3. Bad data analysis for power system state estimation

4. Innovation concept for measurement gross error detection and identification in power system state estimation

5. LiuY.NingP.ReiterM.K.: ‘False data injection attacks against state estimation in electric power grids’.Proc. of the 16th ACM Conf. on Computer and Communications Security CCS ‘09 New York NY USA: ACM 2009 pp.21–32. Available athttp://doi.acm.org/10.1145/1653662.1653666

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