• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Space-Based and Situated Computing >Detecting and characterising of mobile advertisement network traffic using graph modelling
【24h】

Detecting and characterising of mobile advertisement network traffic using graph modelling

机译：使用图形建模检测和表征移动广告网络流量

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Many 'free' applications are provided for Android. These include advertisement (ad) modules manage ad services and track user sensitive behaviour. These sometimes lead violations of privacy. We analysed 797 of 1,188 applications included 45 known ad modules and found characteristic ad network traffic patterns. In order to accurately differentiate traffic between ad modules and valid application, we propose a novel method based on the distance between traffic graphs mapping the relationships between HTTP sessions. Using this method, we can detect ad modules' traffic by comparing session graphs with known ad graphs. In evaluation, we generated 20,903 graphs from applications traffic includes 4,698 known ad graphs, manually identified 2,000 ad graphs, and 2,000 standard application graphs. We also evaluated graph screening for detection accuracy. Our approach showed 76% detection rate for known ad graphs, 96% detection rate for manually classified ad graphs, and under 10% false positive rate for standard graphs.
机译：为Android提供了许多“免费”的应用程序。这些包括广告（广告）模块管理广告服务并跟踪用户敏感行为。这些有时会带来违反隐私的行为。我们分析了797个中的1,188个应用程序包括45个已知的广告模块，并找到特征广告网络流量模式。为了准确区分广告模块与有效应用之间的流量，我们提出了一种基于交通图之间的距离映射HTTP会话之间的关系的新方法。使用此方法，我们可以通过将与已知广告图形的会话图形进行比较来检测AD模块流量。在评估中，我们生成了来自应用程序流量的20,903个图表包括4,698个已知的广告图形，手动识别了2,000个广告图和2,000个标准应用程序图。我们还评估了检测精度的图表筛选。我们的方法显示了已知的广告图的76％检测率，手动分类的广告图的96％检测率，并为标准图的10％误差率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号