摘要
随着网络宽带的普及,网吧经营面临困境,以至于部分网吧通过非法经营来吸引顾客。网吧数目巨大,传统执法耗时耗力,给黑网吧规避查处提供时间缓冲。为了帮助公安机关检测非法上网行为与团伙上网行为、准确找到黑网吧,提出一套基于可视化的、系统性的网吧非法运营行为检测及分析流程,能够有效提高执法效率。
With the popularization of Internet broadband,Internet cafes are faced with difficulties in operation,so that some Internet cafes attract customers through illegal operation.The number of Internet cafes is huge,and the traditional law enforcement is time consuming,which provide a time buffer for Internet cafes to avoid punishment.In order to help the public security organs detect illegal Internet behaviors,gang Internet behaviors,and accurately find the illegal Internet cafe,this paper puts forward a set of visual and systematic detection and analysis process of illegal Internet cafe operation behaviors,which can effectively improve the efficiency of law enforcement.
作者
张艺兰
梁晶
乔亚男
冯雪昱
ZHANG Yi-lan;LIANG Jing;QIAO Ya-lan;FENG Xue-yu(College of Computer Science,Sichuan University,Chengdu 610065)
出处
《现代计算机》
2019年第5期39-42,46,共5页
Modern Computer
关键词
可视化
异常检测
数据分析
用户画像
Visualization
Anomaly Detection
Data Analysis
User Portrait