Application of Intelligent Cloud Computing Technology in Optical Communication Network Security of Smart Grid
DOI:
https://doi.org/10.13052/jcsm2245-1439.1342Keywords:
Cloud computing, smart grid, optical communication, network securityAbstract
In order to improve the security of smart grid optical communication network, this paper combines intelligent cloud computing technology to build a security system of optical communication network of power grid. In the aspect of improving communication security performance, multi-user access is realized by non-orthogonal power domain segmentation, and different users use different powers to add and superimpose the same spectrum resources, so as to increase spectrum utilization. At the sending end, this paper improves the safe channel capacity of users by means of pre-coding and artificial noise, and realizes the safe transmission of information. In terms of transmission stability, the cloud computing platform is used as a data processing platform, and multiple nodes are processed synchronously through optical communication state identification, which can more effectively improve the speed of optical communication state identification data. In order to test the performance of the power grid information dispatching model designed in this paper in optimizing power grid configuration and improving power grid load, simulation experiments are carried out. Through the experimental analysis, we can see that the communication method proposed in this paper can accurately identify the intrusion factors, and can effectively improve the security of smart grid optical communication network.
Downloads
References
Aguado, A., Lopez, V., Lopez, D., Peev, M., Poppe, A., Pastor, A., … and Martin, V. (2019). The engineering of software-defined quantum key distribution networks. IEEE Communications Magazine, 57(7), 20–26.
Aguado, A., Lopez, V., Martinez-Mateo, J., Peev, M., Lopez, D., and Martin, V. (2018). Virtual network function deployment and service automation to provide end-to-end quantum encryption. Journal of Optical Communications and Networking, 10(4), 421–430.
Guan, M., Yang, X., and Hu, W. (2019). Chaotic image encryption algorithm using frequency-domain DNA encoding. IET image processing, 13(9), 1535–1539.
Huang, Q., Liu, D., Chen, Y., Wang, Y., Tan, J., Chen, W., … and Zhu, N. (2018). Secure free-space optical communication system based on data fragmentation multipath transmission technology. Optics express, 26(10), 13536–13542.
Jiang, N., Zhao, A., Xue, C., Tang, J., and Qiu, K. (2019). Physical secure optical communication based on private chaotic spectral phase encryption/decryption. Optics letters, 44(7), 1536–1539.
Karinou, F., Brunner, H. H., Fung, C. H. F., Comandar, L. C., Bettelli, S., Hillerkuss, D., … and Poppe, A. (2018). Toward the integration of CV quantum key distribution in deployed optical networks. IEEE Photonics Technology Letters, 30(7), 650–653.
Ke, J., Yi, L., Xia, G., and Hu, W. (2018). Chaotic optical communications over 100-km fiber transmission at 30-Gb/s bit rate. Optics letters, 43(6), 1323–1326.
Liang, X., Zhang, C., Luo, Y., Wang, X., and Qiu, K. (2022). Secure encryption and key management for OFDM-PON based on chaotic Hilbert motion. Journal of Lightwave Technology, 41(6), 1619–1625.
Mehic, M., Niemiec, M., Rass, S., Ma, J., Peev, M., Aguado, A., … and Voznak, M. (2020). Quantum key distribution: a networking perspective. ACM Computing Surveys (CSUR), 53(5), 1–41.
Pirandola, S., Andersen, U. L., Banchi, L., Berta, M., Bunandar, D., Colbeck, R., … and Wallden, P. (2020). Advances in quantum cryptography. Advances in optics and photonics, 12(4), 1012–1236.
Sultan, A., Yang, X., Hajomer, A. A., and Hu, W. (2018). Chaotic constellation mapping for physical-layer data encryption in OFDM-PON. IEEE photonics technology letters, 30(4), 339–342.
Wengerowsky, S., Joshi, S. K., Steinlechner, F., Zichi, J. R., Dobrovolskiy, S. M., Van der Molen, R., … and Ursin, R. (2019). Entanglement distribution over a 96-km-long submarine optical fiber. Proceedings of the National Academy of Sciences, 116(14), 6684–6688.
Yazdeen, A. A., Zeebaree, S. R., Sadeeq, M. M., Kak, S. F., Ahmed, O. M., and Zebari, R. R. (2021). FPGA implementations for data encryption and decryption via concurrent and parallel computation: A review. Qubahan Academic Journal, 1(2), 8–16.
Zhang, W., Zhang, C., Chen, C., and Qiu, K. (2017). Experimental demonstration of security-enhanced OFDMA-PON using chaotic constellation transformation and pilot-aided secure key agreement. Journal of Lightwave Technology, 35(9), 1524–1530.
Zhang, W., Zhang, C., Chen, C., Zhang, H., and Qiu, K. (2017). Brownian motion encryption for physical-layer security improvement in CO-OFDM-PON. IEEE Photonics Technology Letters, 29(12), 1023–1026.
Zhang, Z., Luo, Y., Zhang, C., Liang, X., Cui, M., and Qiu, K. (2022). Constellation Shaping chaotic encryption scheme with controllable statistical distribution for OFDM-PON. Journal of lightwave technology, 40(1), 14–23.
Zhao, A., Jiang, N., Liu, S., Zhang, Y., and Qiu, K. (2021). Physical layer encryption for WDM optical communication systems using private chaotic phase scrambling. Journal of Lightwave Technology, 39(8), 2288–2295.
Zhao, J., Liu, B., Mao, Y., Ullah, R., Ren, J., Chen, S., … and Shen, J. (2020). High security OFDM-PON with a physical layer encryption based on 4D-hyperchaos and dimension coordination optimization. Optics Express, 28(14), 21236–21246.
Song, H., Fang, X., and Fang, Y. (2016). Millimeter-wave network architectures for future high-speed railway communications: Challenges and solutions. IEEE Wireless Communications, 23(6), 114–122.
Liu, L., Tao, C., Qiu, J., Chen, H., Yu, L., Dong, W., and Yuan, Y. (2012). Position-based modeling for wireless channel on high-speed railway under a viaduct at 2.35 GHz. IEEE Journal on Selected Areas in Communications, 30(4), 834–845.
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Journal of Cyber Security and Mobility
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
