Editorial: Artificial Intelligence-based Security Applications and Services for Smart Cities

Jong Hyuk Park; Jong Hyuk Park

doi:10.3934/mbe.2024307

Mathematical Biosciences and Engineering

2024, Volume 21, Issue 8: 7012-7015. doi: 10.3934/mbe.2024307

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Editorial

Editorial: Artificial Intelligence-based Security Applications and Services for Smart Cities

Jong Hyuk Park ^,

Department of Computer Science and Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul, 01811, Korea

Received: 21 June 2024 Revised: 21 June 2024 Accepted: 26 August 2024 Published: 29 August 2024

Citation: Jong Hyuk Park. Editorial: Artificial Intelligence-based Security Applications and Services for Smart Cities[J]. Mathematical Biosciences and Engineering, 2024, 21(8): 7012-7015. doi: 10.3934/mbe.2024307

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References

[1]	Z. Tang, C. Chen, Spatio-temporal information enhance graph convolutional networks: A deep learning framework for ride-hailing demand prediction, Math. Biosci. Eng., 21 (2024), 2542–2567. https://doi.org/10.3934/mbe.2024112 doi: 10.3934/mbe.2024112
[2]	M. Chen, F. Qiu, X. Xiong, Z. Chang, Y. Wei, J. Wu, BILSTM-SimAM: An improved algorithm for short-term electric load forecasting based on multi-feature, Math. Biosci. Eng., 21 (2024), 2323–2343. https://doi.org/10.3934/mbe.2024102 doi: 10.3934/mbe.2024102
[3]	Y. Bao, Q. Zhao, J. Sun, W. Xu, H. Lu, An edge cloud and Fibonacci-Diffie-Hellman encryption scheme for secure printer data transmission, Math. Biosci. Eng., 21 (2024), 96–115. https://doi.org/10.3934/mbe.2024005 doi: 10.3934/mbe.2024005
[4]	C. Cai, C. Peng, J. Niu, W. Tan, H. Tang, Low distortion reversible database watermarking based on hybrid intelligent algorithm, Math. Biosci. Eng., 20 (2023), 21315–21336. https://doi.org/10.3934/mbe.2023943 doi: 10.3934/mbe.2023943
[5]	L. Yu, Z. Zhang, Y. Lai, Y. Zhao, F. Mo, Edge computing-based intelligent monitoring system for manhole cover, Math. Biosci. Eng., 20 (2023), 18792–18819. https://doi.org/10.3934/mbe.2023833 doi: 10.3934/mbe.2023833
[6]	B. C. Douss, R. Abassi, D. Sauveron, State-of-the-art survey of in-vehicle protocols and automotive Ethernet security and vulnerabilities, Math. Biosci. Eng., 20 (2023), 17057–17095. https://doi.org/10.3934/mbe.2023761 doi: 10.3934/mbe.2023761
[7]	Y. Zhu, H. Wen, J. Wu, R. Zhao, Online data poisoning attack against edge AI paradigm for IoT-enabled smart city, Math. Biosci. Eng., 20 (2023), 17726–17746. https://doi.org/10.3934/mbe.2023788 doi: 10.3934/mbe.2023788
[8]	Y. Pan, J. Yang, L. Zhu, L. Yao, B. Zhang, Aerial images object detection method based on cross-scale multi-feature fusion, Math. Biosci. Eng., 20 (2023), 16148–16168. https://doi.org/10.3934/mbe.2023721 doi: 10.3934/mbe.2023721
[9]	F. Wang, Z. Zhang, K. Wu, D. Jian, Q. Chen, C. Zhang, L. Dong, Artificial intelligence techniques for ground fault line selection in power systems: State-of-the-art and research challenges, Math. Biosci. Eng., 20 (2023), 14518–14549. https://doi.org/10.3934/mbe.2023650 doi: 10.3934/mbe.2023650
[10]	M. Firdaus, S. Noh, Z. Qian, H. T. Larasati, K. H. Rhee, Personalized federated learning for heterogeneous data: A distributed edge clustering approach, Math. Biosci. Eng., 20 (2023), 10725–10740. https://doi.org/10.3934/mbe.2023475 doi: 10.3934/mbe.2023475
[11]	S. Yu, Y. Won, A survey of methods for encrypted network traffic fingerprinting, Math. Biosci. Eng., 20 (2023), 2183–2202. https://doi.org/10.3934/mbe.2023101 doi: 10.3934/mbe.2023101
[12]	C. Shin, S. H. Hong, H. Jeong, H. Yoon, B. Koh, All-in-one encoder/decoder approach for non-destructive identification of 3D-printed objects, Math. Biosci. Eng., 19 (2022), 14102–14115. https://doi.org/10.3934/mbe.2022657 doi: 10.3934/mbe.2022657
[13]	Z. Yang, Y. Bao, Y. Liu, Q. Zhao, H. Zheng, W. Xu, Lightweight blockchain fuzzy decision scheme through MQTT and Fibonacci for sustainable transport, Math. Biosci. Eng., 19 (2022), 11935–11956. https://doi.org/10.3934/mbe.2022556 doi: 10.3934/mbe.2022556
[14]	M. M. Salim, J. Kang, Y. Pan, J. H. Park, A lightweight authentication scheme for IoT against rogue base station attacks, Math. Biosci. Eng., 19 (2022), 11735–11755. https://doi.org/10.3934/mbe.2022546 doi: 10.3934/mbe.2022546

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