A Novel Security Methodology for Smart Grids: A Case Study of Microcomputer-Based Encryption for PMU Devices

Journal article

Varan, Metin, Akgul, Akif, Kurugollu, Fatih, Sansli, Ahmet and Smith, K. 2021. A Novel Security Methodology for Smart Grids: A Case Study of Microcomputer-Based Encryption for PMU Devices. Complexity. 2021, pp. 1-15. https://doi.org/10.1155/2021/2798534
AuthorsVaran, Metin, Akgul, Akif, Kurugollu, Fatih, Sansli, Ahmet and Smith, K.
Abstract

Coordination of a power system with the phasor measurement devices (PMUs) in real time on the load and generation sides is
carried out within the context of smart grid studies. Power systems equipped with information systems in a smart grid pace with
external security threats. Developing a smart grid which can resist against cyber threats is considered indispensable for the
uninterrupted operation. In this study, a two-way secure communication methodology underpinned by a chaos-based encryption
algorithm for PMU devices is proposed. (e proposed system uses the IEEE-14 busbar system on which the optimum PMU
placement has been installed. (e proposed hyperchaotic system-based encryption method is applied as a new security
methodology among PMU devices. (e success of results is evaluated by the completeness of data exchange, durations, the
complexity of encryption-decryption processes, and strength of cryptography using a microcomputer-based implementation. (e
results show that the proposed microcomputer-based encryption algorithms can be directly embedded as encryption hardware
units into PMU and PDC devices which have very fast signal processing capabilities taking into considerations the acceptable
delay time for power system protection and measuring applications and quality metering applications which is 2 ms and 10 ms,
respectively. While proposed algorithms can be used in TCP or UDP over IP-based IEEE C37.118, IEC 61850, and IEC 61850-90-5
communication frameworks, they can also be embedded into electronic cards, smartcards, or smart tokens which are utilized for
authentication among smart grid components.

KeywordsGeneral Computer Science; Smart Grids; Chaotic cipher
Year2021
JournalComplexity
Journal citation2021, pp. 1-15
PublisherHindawi Limited
ISSN1076-2787
1099-0526
Digital Object Identifier (DOI)https://doi.org/10.1155/2021/2798534
Web address (URL)http://hdl.handle.net/10545/626029
http://creativecommons.org/publicdomain/zero/1.0/
hdl:10545/626029
Publication dates18 Sep 2021
Publication process dates
Deposited04 Oct 2021, 10:31
Accepted03 Sep 2021
Rights

CC0 1.0 Universal

ContributorsUniversity of Applied Sciences, Serdivan 54050, Sakarya, Turkey, Hitit University, Corum 19030, Turkey and University of Derby
File
File Access Level
Open
File
File Access Level
Open
File
File Access Level
Open
Permalink -

https://repository.derby.ac.uk/item/94843/a-novel-security-methodology-for-smart-grids-a-case-study-of-microcomputer-based-encryption-for-pmu-devices

Log in to edit

Download files

  • 42
    total views
  • 39
    total downloads
  • 0
    views this month
  • 1
    downloads this month

Export as

Related outputs

Deep labeller: automatic bounding box generation for synthetic violence detection datasets
Nadeem, M., Kurugollu, F., Saravi, S., Atlam, H. and Franqueira, V. 2023. Deep labeller: automatic bounding box generation for synthetic violence detection datasets. Multimedia Tools and Applications. pp. 1-18. https://doi.org/10.1007/s11042-023-15621-5
Front and Back Views Gait Recognitions Using EfficientNets and EfficientNetV2 Models Based on Gait Energy Image
Tengku Mohd Afendi, Zulcaffle,, Kurugollu, F., Kuryati, K., Joseph, A. and Bong, D. L. 2023. Front and Back Views Gait Recognitions Using EfficientNets and EfficientNetV2 Models Based on Gait Energy Image. International Journal of Computing and Digital Systems. 2, pp. 1-10. https://doi.org/10.12785/ijcds/XXXXXX
Explaining deep neural networks: A survey on the global interpretation methods
Saleem, R., Yuan, B., Kurugollu, F., Anjum, A. and Liu, L. 2022. Explaining deep neural networks: A survey on the global interpretation methods. Neurocomputing. 513, pp. 165-180. https://doi.org/10.1016/j.neucom.2022.09.129
Severity Estimation of Plant Leaf Diseases Using Segmentation Method
Entuni, Chyntia Jaby, Afendi Zulcaffle, Tengku Mohd, Kipli, Kuryati and Kurugollu, Fatih 2020. Severity Estimation of Plant Leaf Diseases Using Segmentation Method. Applied Science and Engineering Progress. 14 (1), pp. 108-119. https://doi.org/10.14416/j.asep.2020.11.004
Explaining probabilistic Artificial Intelligence (AI) models by discretizing Deep Neural Networks
Saleem, Rabia, Yuan, Bo, Kurugollu, Fatih and Anjum, Ashiq 2020. Explaining probabilistic Artificial Intelligence (AI) models by discretizing Deep Neural Networks. IEEE. https://doi.org/10.1109/ucc48980.2020.00070
NOTRINO: a NOvel hybrid TRust management scheme for INternet-Of-vehicles
Ahmad, F., Kurugollu, Fatih, Kerrache, Chaker Abdelaziz, Sezer, Sakir and Liu, Lu 2021. NOTRINO: a NOvel hybrid TRust management scheme for INternet-Of-vehicles. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2021.3049189
Persation: an IoT based personal safety prediction model aided solution
Alofe, Olasunkanmi Matthew, Fatema, Kaniz, Azad, Muhammad Ajmal and Kurugollu, Fatih 2020. Persation: an IoT based personal safety prediction model aided solution. International Journal of Computing and Digital Systems.
MARINE: Man-in-the-middle attack resistant trust model IN connEcted vehicles
Ahmad, F., Kurugollu, Fatih, Adnane, Asma, Hussain, Rasheed and Hussain, Fatima 2020. MARINE: Man-in-the-middle attack resistant trust model IN connEcted vehicles. IEEE Internet of Things. https://doi.org/10.1109/JIOT.2020.2967568
CRT-BIoV: A cognitive radio technique for blockchain-enabled internet of vehicles
Rathee, Geetanjali, Ahmad, F., Kurugollu, Fatih, Azad, Muhammad, Iqbal, Razi and Imran, Muhammad 2020. CRT-BIoV: A cognitive radio technique for blockchain-enabled internet of vehicles. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2020.3004718
Vehicular sensor networks: Applications, advances and challenges
Kurugollu, Fatih, Ahmed, Syed Hassan, Hussain, Rasheed, Ahmad, F. and Kerrache, Chaker Abdelaziz 2020. Vehicular sensor networks: Applications, advances and challenges. Sensors. https://doi.org/10.3390/s20133686
Spatio-temporal rich model-based video steganalysis on cross sections of motion vector planes
Tasdemir, Kasim, Kurugollu, Fatih and Sezer, Sakir 2016. Spatio-temporal rich model-based video steganalysis on cross sections of motion vector planes. IEEE Transactions on Image Processing. https://doi.org/10.1109/TIP.2016.2567073
Cascaded multimodal biometric recognition framework
Albesher, Badr, Kurugollu, Fatih, Bouridane, Ahmed and Baig, Asim 2013. Cascaded multimodal biometric recognition framework. IET Biometrics. https://doi.org/10.1049/iet-bmt.2012.0043
Privacy region protection for H.264/AVC with enhanced scrambling effect and a low bitrate overhead
Wang, Yongsheng, O׳Neill, Máire, Kurugollu, Fatih and O׳Sullivan, Elizabeth 2015. Privacy region protection for H.264/AVC with enhanced scrambling effect and a low bitrate overhead. Signal Processing: Image Communication. https://doi.org/10.1016/j.image.2015.04.013
Blind image watermark detection algorithm based on discrete shearlet transform using statistical decision theory
Ahmaderaghi, Baharak, Kurugollu, Fatih, Rincon, Jesus Martinez Del and Bouridane, Ahmed 2018. Blind image watermark detection algorithm based on discrete shearlet transform using statistical decision theory. IEEE Transactions on Computational Imaging. https://doi.org/10.1109/TCI.2018.2794065
Frontal view gait recognition with fusion of depth features from a time of flight camera
Afendi Tengku Mohd, Kurugollu, Fatih, Crookes, Danny, Bouridane, Ahmed and Farid, Mohsen 2018. Frontal view gait recognition with fusion of depth features from a time of flight camera. IEEE Transactions on Information Forensics and Security. https://doi.org/10.1109/TIFS.2018.2870594
Towards a trusted unmanned aerial system using blockchain (BUAS) for the protection of critical infrastructure
Barka, Ezedin, Kerrache, Chaker Abdelaziz, Benkraouda, Hadjer, Shuaib, Khaled, Ahmad, F. and Kurugollu, Fatih 2019. Towards a trusted unmanned aerial system using blockchain (BUAS) for the protection of critical infrastructure. Transactions on Emerging Telecommunications Technologies. https://doi.org/10.1002/ett.3706
A comparative analysis of trust models for safety applications in IoT-enabled vehicular networks
Ahmad, F., Adnane, Asma, Hussain, Rasheed and Kurugollu, Fatih 2019. A comparative analysis of trust models for safety applications in IoT-enabled vehicular networks. IEEE.
A survey of deep learning solutions for multimedia visual content analysis.
Nadeem, Muhammad Shahroz, Franqueira, Virginia N. L., Zhai, Xiaojun and Kurugollu, Fatih 2019. A survey of deep learning solutions for multimedia visual content analysis. IEEE Access. https://doi.org/10.1109/ACCESS.2019.DOI
Realization of blockchain in named data networking-based internet-of-vehicles
Ahmad, F., Kerrache, Chaker Abdelaziz, Kurugollu, Fatih and Hussain, Rasheed 2019. Realization of blockchain in named data networking-based internet-of-vehicles. IT Professional. https://doi.org/10.1109/MITP.2019.2912142
Spatio-temporal rich model-based video steganalysis on cross sections of motion vector planes.
Tasdemir, Kasim, Kurugollu, Fatih and Sezer, Sakir 2016. Spatio-temporal rich model-based video steganalysis on cross sections of motion vector planes. IEEE Transactions on Image Processing. https://doi.org/10.1109/TIP.2016.2567073
Man-In-The-Middle attacks in Vehicular Ad-Hoc Networks: Evaluating the impact of attackers’ strategies.
Ahmad, F., Adnane, Asma, Franqueira, Virginia N. L., Kurugollu, Fatih and Liu, Lu 2018. Man-In-The-Middle attacks in Vehicular Ad-Hoc Networks: Evaluating the impact of attackers’ strategies. Sensors. 18 (11), p. 4040. https://doi.org/10.3390/s18114040
Digital video source identification based on green-channel photo response non-uniformity (G-PRNU)
Al-Athamneh, Mohammad, Kurugollu, Fatih, Crookes, Danny and Farid, Mohsen 2016. Digital video source identification based on green-channel photo response non-uniformity (G-PRNU). https://doi.org/10.5121/csit.2016.61105
A critical review of the routing protocols in opportunistic networks
Panneerselvam, J., Atojoko, Anthony, Smith, K., Liu, Lu and Antonopoulos, Nikolaos 2014. A critical review of the routing protocols in opportunistic networks. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems. https://doi.org/10.4108/inis.1.1.e6