yufujia
The Pseudo base stations cause a great number of social and economic security problems with spreading spam messages. However, it is a serious challenge for security department to recognize the behavior patterns of pseudo base stations, then make use of limited police resources to prevent their activities and even to arrest related criminals. In this paper, a novel visual analytic approach to reveal the spatial-temporal behavior patterns of pseudo base stations is presented. In this approach, it takes advantage of density clustering over high frequency positions, and curve fitting on each cluster. This system supports decision makers to formulate patrol routes on the basis of above approximate trajectory. This approach has been demonstrated effective by means of case studies of authority data and has been evaluated novel and valuable in the view of domain experts.
A complete procedure which decision makers should follow in one analysis and decision process is combined by three series:
the analysis of spatial-temporal behavior patterns of pseudo base stations.
the observation of the spatial-temporal distribution of spam messages in various themes.
formulating one or several available patrols routes with police resources taken into account.
In this paper, an interactive visual analysis approach of multi-factors driven formulating pseudo base stations striking solutions is proposed. The main feature of the system is that it allows users explore detailed behavior patterns of pseudo base stations interactively in overview and focus insights, and makes available police routes plan intuitively. The applicability of the approach is shown in a case study which demonstrates the practicability and effectiveness in analyzing spam messages with spatial-temporal-thematic features.