Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A Digital Twins Approach to Smart Grid Security Testing and Standardization
Date
2020-06-01
Author
Atalay, Manolya
Angın, Pelin
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
343
views
0
downloads
Cite This
The exponential growth of the Internet of Things in recent years has created an ever larger cyber attack surface, introducing new security vulnerabilities for all computerized systems. Among the most significant of those systems are industrial control systems (ICS) consisting of many cyber physical components, and smart grids are a prominent example of ICS, whose failures have potential to cause major disruptions in all aspects of our daily lives. In this paper, we provide an overview of smart grid cybersecurity standards, and review major threats to smart grid environments at the physical, network and application layers. In order to overcome the current lack of standards for security evaluation of smart grids, we propose a digital twins based approach for the complete lifecycle of a smart grid, which accurately models the functioning of the physical grid and avoids service disruptions caused by running security tests on the actual grid. A digital twins based approach is promising to provide a common ground for the development of standardized models for continuous and comprehensive penetration testing of smart grids
Subject Keywords
Smart Grid
,
LoT
,
Cybersecurity
,
Digital Twins
URI
https://hdl.handle.net/11511/52407
DOI
https://doi.org/10.1109/metroind4.0iot48571.2020.9138264
Collections
Department of Computer Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
A novel online approach to detect DDOS attacks using mahalanobis distance and Kernel-based learning
Daneshgadeh Çakmakçı, Salva; Baykal, Nazife; Department of Information Systems (2019)
Distributed denial-of-service (DDoS) attacks are continually evolving as the computer and networking technologies and attackers’ motivations are changing. In recent years, several supervised DDoS detection algorithms have been proposed. However, these algorithms require a priori knowledge of the classes and cannot automatically adapt to the frequently changing network traffic trends. This emphasizes the need for the development of new DDoS detection mechanisms that target zero-day and sophisticated DDoS att...
An Effective Forest Fire Detection Framework Using Heterogeneous Wireless Multimedia Sensor Networks
Kizilkaya, Burak; Ever, Enver; Yatbaz, Hakan Yekta; Yazıcı, Adnan (2022-05-01)
With improvements in the area of Internet of Things (IoT), surveillance systems have recently become more accessible. At the same time, optimizing the energy requirements of smart sensors, especially for data transmission, has always been very important and the energy efficiency of IoT systems has been the subject of numerous studies. For environmental monitoring scenarios, it is possible to extract more accurate information using smart multimedia sensors. However, multimedia data transmission is an expensi...
Online DDoS attack detection using Mahalanobis distance and Kernel-based learning algorithm
Cakmakci, Salva Daneshgadeh; Kemmerich, Thomas; Ahmed, Tarem; Baykal, Nazife (Elsevier BV, 2020-10-01)
Distributed denial-of-service (DDoS) attacks are constantly evolving as the computer and networking technologies and attackers' motivations are changing. In recent years, several supervised DDoS detection algorithms have been proposed. However, these algorithms require a priori knowledge of the classes and cannot automatically adapt to frequently changing network traffic trends. This emphasizes the need for the development of new DDoS detection mechanisms that target zero-day and sophisticated DDoS attacks....
A SYSTEMATIC REVIEW ON SMART CITY SERVICES AND IOT-BASED TECHNOLOGIES
Özkan Yıldırım, Sevgi (2019-03-21)
Due to the technological developments, Internet of things (IoT) has become a real phenomenon. Accordingly, many IoT-based smart concepts appeared in our daily lives such as smart home, smart healthcare and smart city. There are several factors accelerating or hindering the adoption of such new services and concepts. So, the acceptance of IoT-based smart services is critical and should be analyzed carefully. In this study, we aimed to prepare a proper starting point for future studies on end user acceptance ...
A Decision Support System for Optimal Selection of Enterprise Information Security Preventative Actions
Sonmez, Ferda Ozdemir; Günel Kılıç, Banu (2021-09-01)
Types and complexity of information security related vulnerabilities are growing rapidly and present numerous challenges to the enterprises. One of the key challenges is to identify the optimal set of precautions with limited budget. Despite the fact that majority of enterprises have a budget constraint for installing and maintaining the protection systems, the majority of the previous work only focus on prioritization of security targets and do not consider the preventative actions and budget constraints. ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Atalay and P. Angın, “A Digital Twins Approach to Smart Grid Security Testing and Standardization,” 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52407.