基于多用户垃圾短信数据的伪基站活动轨迹可视分析方法

doi:10.11772/j.issn.1001-9081.2017102414

计算机应用 ›› 2018, Vol. 38 ›› Issue (4): 1207-1212.DOI: 10.11772/j.issn.1001-9081.2017102414

• 应用前沿、交叉与综合 • 上一篇下一篇

基于多用户垃圾短信数据的伪基站活动轨迹可视分析方法

蒲誉文, 胡海波, 何凌君

重庆大学软件学院, 重庆 400044

收稿日期:2017-10-12 修回日期:2017-11-25 出版日期:2018-04-10 发布日期:2018-04-09
通讯作者: 胡海波
作者简介:蒲誉文(1993-),男,四川岳池人,硕士研究生,主要研究方向:网络安全、可视分析;胡海波(1977-),男,河南安阳人,副教授,博士,主要研究方向:网络安全、可视分析;何凌君(1993-),女,贵州贵阳人,硕士研究生,主要研究方向:网络安全、可视分析。
基金资助:
重庆市基础科学与前沿技术研究专项（cstc2017jcyjB0305）。

Visual analytics on trajectory of pseudo base-stations based on SMS spam collected from mobilephone users

PU Yuwen, HU Haibo, HE Lingjun

School of Software, Chongqing University, Chongqing 400044, China

Received:2017-10-12 Revised:2017-11-25 Online:2018-04-10 Published:2018-04-09
Supported by:
This work is partially supported by the Chongqing Research Program of Basic Research and Frontier Technology (cstc2017jcyjB0305).

摘要/Abstract

摘要： 由于传统短信服务（SMS）存在严重的安全漏洞，不法分子可通过伪基站发送大量垃圾短信和诈骗信息，严重干扰人们的日常生活，危及人们的财产安全，影响社会稳定。然而，现有的关于伪基站的分析方法不能很好地感知某个大区域内的伪基站分布态势，难以探索伪基站的活动规律，把握伪基站的运动轨迹。针对这一问题，提出基于多用户垃圾短信数据进行可视分析的方法。通过用户上报垃圾短信的时间、相对位置、内容等信息，来追溯伪基站的近似活动轨迹；并通过设计多种可视化视图，实现一个多视图组合的交互式可视分析系统。最后，采用ChinaVis2017挑战赛I的数据集进行实验和案例分析，验证了该方法的可行性和有效性。

关键词: 垃圾短信, 伪基站, 可视分析, 多视图, 交互设计

Abstract: 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.

Key words: Short Message Service (SMS) spam, pseudo base-station, visual analytics, multi-view, interactive design

中图分类号:

TP393

蒲誉文, 胡海波, 何凌君. 基于多用户垃圾短信数据的伪基站活动轨迹可视分析方法[J]. 计算机应用, 2018, 38(4): 1207-1212.

PU Yuwen, HU Haibo, HE Lingjun. Visual analytics on trajectory of pseudo base-stations based on SMS spam collected from mobilephone users[J]. Journal of Computer Applications, 2018, 38(4): 1207-1212.

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基于多用户垃圾短信数据的伪基站活动轨迹可视分析方法

Visual analytics on trajectory of pseudo base-stations based on SMS spam collected from mobilephone users

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