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Visual analytics on trajectory of pseudo base-stations based on SMS spam collected from mobilephone users
PU Yuwen, HU Haibo, HE Lingjun
Journal of Computer Applications
2018, 38 (4):
1207-1212.
DOI: 10.11772/j.issn.1001-9081.2017102414
Due to critical security vulnerabilities of the protocols for Short Message Service (SMS), SMS spam come to the fore through numerous malicious pseudo base-stations, to spread fraud message or illegal advertisements. Nowadays, SMS spam negatively affects daily lives of the masses, even influences the stability of society. However, with respect to the properties as mobility and concealment of pseudo base-stations, exploring the trajectory and activity of pseudo base-stations is a difficult task. To solve this problem, a visual analytics scheme was proposed to trail pseudo base-stations via multi-users' SMS spam collected by mobile service provider. Multi-visualized views and a visual analytics system were designed based upon the proposed scheme. Moreover, a case study was presented to validate the proposed method and system, with the aid of dataset provided by the ChinaVis'2017 Challenge I. The result verifies the feasibility and effectiveness of the proposed method.
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