Výsledky vyhledávání - "Nader Aljohani"

Akademický článek

Cross‐layered distributed data‐driven framework for enhanced smart grid cyber‐physical security

Autor: Allen Starke, Keerthiraj Nagaraj, Cody Ruben, Nader Aljohani, Sheng Zou, Arturo Bretas, Janise McNair, Alina Zare

Publikováno v: IET Smart Grid, Vol 5, Iss 6, Pp 398-416 (2022)

Abstract Smart Grid (SG) research and development has drawn much attention from academia, industry and government due to the great impact it will have on society, economics and the environment. Securing the SG is a considerably significant challenge

Externí odkaz: https://doaj.org/article/11f344a14b884bab8dad61f1a576fb4f

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Akademický článek

Implementation Aspects of Smart Grids Cyber-Security Cross-Layered Framework for Critical Infrastructure Operation

Autor: Dennis Agnew, Nader Aljohani, Reynold Mathieu, Sharon Boamah, Keerthiraj Nagaraj, Janise McNair, Arturo Bretas

Publikováno v: Applied Sciences, Vol 12, Iss 14, p 6868 (2022)

Communication networks in power systems are a major part of the smart grid paradigm. It enables and facilitates the automation of power grid operation as well as self-healing in contingencies. Such dependencies on communication networks, though, crea

Externí odkaz: https://doaj.org/article/4a114d962fc64560b960bedd8e748bd6

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Akademický článek

A Network Parameter Database False Data Injection Correction Physics-Based Model: A Machine Learning Synthetic Measurement-Based Approach

Autor: Tierui Zou, Nader Aljohani, Keerthiraj Nagaraj, Sheng Zou, Cody Ruben, Arturo Bretas, Alina Zare, Janise McNair

Publikováno v: Applied Sciences, Vol 11, Iss 17, p 8074 (2021)

Concerning power systems, real-time monitoring of cyber–physical security, false data injection attacks on wide-area measurements are of major concern. However, the database of the network parameters is just as crucial to the state estimation proce

Externí odkaz: https://doaj.org/article/19915b666dcf4cddbfb43678dc3a321c

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Akademický článek

A Bi-Level Model for Detecting and Correcting Parameter Cyber-Attacks in Power System State Estimation

Autor: Nader Aljohani, Arturo Bretas

Publikováno v: Applied Sciences, Vol 11, Iss 14, p 6540 (2021)

Power system state estimation is an important component of the status and healthiness of the underlying electric power grid real-time monitoring. However, such a component is prone to cyber-physical attacks. The majority of research in cyber-physical

Externí odkaz: https://doaj.org/article/7eb3f5c7416246b8ae47ed20670c6bf6

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Akademický článek

Multi-Area State Estimation: A Distributed Quasi-Static Innovation-Based Model with an Alternative Direction Method of Multipliers

Autor: Nader Aljohani, Tierui Zou, Arturo S. Bretas, Newton G. Bretas

Publikováno v: Applied Sciences, Vol 11, Iss 10, p 4419 (2021)

In the modern power system networks, grid observability has greatly increased due to the deployment of various metering technologies. Such technologies enhanced the real-time monitoring of the grid. The collection of observations are processed by the

Externí odkaz: https://doaj.org/article/ef3122ef49484582958dc04cde1db9d9

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