5 Conclusion
Both coordinated and uncoordinated protocols may be used in SG to attain durable wireless
communications against jamming attacks. In contrast with coordinated protocols,
uncoordinated ones are safer and more resistant to deliberate attacks. They share an
advanced known secret between transmitter and receiver. On the other hand, the cost of
uncoordinated protocols is delayed execution because one needs to negotiate a secret before
starting data communication. These schemes and other existing schemes such as DEEJAM
and Timing-channel (TC), may easily be used in AMI wireless networks and home networks
where the communication movement is chronically critical. However, it is still unclear if
they may be utilized effectively in distribution and transmission systems, where performing
the communication at the millisecond level is necessary.
Although great progress is being made to ensure the present and future implementation
of the smart grid, there are still many challenges that they need to be addressed Security and
privacy.
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They are essentially based on promoting the use of best security practices information in
the implementation and development of new smart initiatives networks. Cooperation in
industry and state support are essential to establish entities for the management,
coordination, and dissemination of information about security incidents, vulnerabilities,
problems and solutions and privacy in the smart grid.
Particular attention should be paid to consumer privacy and the establishment of entities
to protect consumer privacy rights.
References
1.
M. Abrar, M. A. Tahir, R. Masroor and H. U. Hamid, "Real time smart grid load
management by integrated and secured communication," in 2018 International
Conference on Innovative Trends in Computer Engineering, 2018.
2.
A. Cardenas and R. Safavi-Naini, "Security and Privacy in the Smart Grid," in
Handbook on Securing Cyber-Physical Critical Infrastructure, 2012, pp. 637-654.
3.
G. Dimitrov et al., “Creation of Biometric System of Identification by Facial Image.”
Proceedings of 2020 3rd International Colloquium on Intelligent Grid Metrology,
SMAGRIMET 2020. IEEE, 2020. pp.29
–
34.
https://doi.org/10.23919/SMAGRIMET48809.2020.9263995
4.
V. Lamba, N. Šimková
and B. Rossi, "Recommendations for smart grid security risk,"
Cyber-Physical Systems, vol. 5, no. 2, p. 92
–
118, 2019.
5.
A. O. Otuoze, M. W. Mustafa and R. M. Larik, "Smart grids security challenges:
Classification by sources of threats," Journal of Electrical Systems and Information
Technology, vol. 5, no. 3, pp. 468-483, 2018.
6.
P. Petrov, P. Dimitrov, S. Stoev, G. P. Dimitrov, and F. Bulut, “Using the Universal
Two Factor Authentication Method in Web Applications by Software Emulated
Device.” International M
ultidisciplinary Scientific GeoConference Surveying Geology
and Mining Ecology Management, SGEM, 2020. pp.403
–
410.
https://doi.org/10.5593/sgem2020/2.1/s07.052
7.
V. Petrivskyi, V. Shevchenko, O. Bychkov, M. Brazhenenko, and P. Petrov
, “CAD
Technology for Opt
imal Territory Covering.” Experience of Designing and
Application of CAD Systems in Microelectronics. IEEE, 202,. pp.15
–
18.
https://doi.org/10.1109/CADSM52681.2021.9385223
8.
M. AmineFerrag, L. A.Maglaras, HelgeJanicke, J. Jiang and LeiShu, "A systematic
review of data protection and privacy preservation schemes for smart grid
communications," Sustainable Cities and Society, vol. 38, pp. 806-835, 2018.
9.
H. Elaydi, “Review of Control Technology on Smart Grid.” 2021 International
Conference on Electric Power Engineering - Palestine, ICEPE-P 2021. IEEE, 2021,
pp.1-6. https://doi.org/10.1109/ICEPE-P51568.2021.9423478
10.
R. Leszczyna, "Cybersecurity and privacy in standards for smart grids
–
A
comprehensive survey," Computer Standards & Interfaces, vol. 56, pp. 62-73, 2018.
11.
P. Petrov, S. Krumovich, N. Nikolov, G. Dimitrov, and V. Sulov, “Web Technologies
Used in the Commercial Banks in Finland.” ACM International Conference Proceeding
Series. Association for Computing Machinery, 2018. pp.94
–
98.
https://doi.org/10.1145/3274005.3274018
12.
G. Dimitrov et al., “Increasing the Classification Accuracy of EEG Based Brain
-
Computer Interface Signals.” 2020 10th International Conference on Advanced
Computer Information Technologies, ACIT 2020 - Proceedings. Institute of Electrical
, 03008 (2024)
E3S Web of Conferences
https://doi.org/10.1051/e3sconf/202450803008
508
GreenEnergy 2023
5
and Electronics Engineers Inc., 2020, pp.386
–
390.
https://doi.org/10.1109/ACIT49673.2020.9208944
13.
North American Electric Reliability Corporation, "NERC CIP Standards," 2013.
[Online]. Available:
https://www.symantec.com/content/en/us/enterprise/other_resources/bnerc_cyber_serc
urity_standard_21171699.en-us.pdf.
14.
P. Petrov, P. Dimitrov, and S. Petrova, “Geohash
-Eas-a Modified Geohash Geocoding
System with Equal-
Area Spaces.” International Multidisciplinary Scientific
GeoConference Surveying Geology and Mining Ecology Management, SGEM. Vol.
18., 2018. pp.187
–
194. https://doi.org/10.5593/sgem2018/2.2/S08.024
15.
IEEE, "C37.240-2014 - IEEE Standard Cybersecurity Requirements for Substation
Automation, Protection, and Control Systems," 2014. [Online]. Available:
https://ieeexplore.ieee.org/document/7024885.
16.
ISO/IEC, "ISO/IEC 14543-5-1:2010: Information technology
—
Home electronic
system (HES) architecture
—
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