FBS-TGCN: a temporal graph-convolutional-network model for spatiotemporal prediction of spam messages from fake base stations-Reference-Cited by-同舟云学术

FBS-TGCN: a temporal graph-convolutional-network model for spatiotemporal prediction of spam messages from fake base stations

Published:2024-02 Issue:4 Volume:38 Page:751-777
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Shi Yufei¹,Tao Haiyan¹²^ORCID,Deng Chengbin³⁴,Zhuo Li¹²⁵^ORCID,Ma Yiwei¹,Shi Qingli¹

Affiliation:

1. Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun·Yat-sen·University, Guangzhou, China

2. Guangdong Provincial Engineering Research Center for Public Security and Disaster, Guangzhou, China

3. Department of Geography and Environmental Sustainability, University of Oklahoma, Norman, OK, USA

4. Center for Spatial Analysis, University of Oklahoma, Norman, OK, USA

5. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China

Funder

Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory

Guangdong Basic and Applied Basic Research Foundation

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2024.2310118

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5. Boudriga, A.C.S.R.N., 2009. Defending against rogue base station attacks using wavelet based fingerprinting. In: Proceedings of. 2009 IEEE/ACS International Conference on Computer Systems and Applications, Doha, Qatar, 523–530.