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

IF 4.3 1区地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Geographical Information Science Pub Date : 2024-02-01 DOI:10.1080/13658816.2024.2310118

Yufei Shi, Haiyan Tao, Chengbin Deng, Li Zhuo, Yiwei Ma, Qingli Shi

引用次数: 0

Abstract

Spam messages affect the normal communication of mobile phone users and public security. Fake base station (FBS) is the main channel for sending spam messages. Accurate spatiotemporal prediction of...

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FBS-TGCN：用于假基站垃圾邮件时空预测的时空图卷积网络模型

垃圾信息影响了手机用户的正常通信和公共安全。伪基站（FBS）是发送垃圾信息的主要渠道。对垃圾信息进行准确的时空预测，可以有效防止垃圾信息的传播。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Geographical Information Science 地学-计算机：信息系统

CiteScore

11.00

自引率

7.00%

发文量

审稿时长

9 months

期刊介绍： International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.