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  • 标题:Traffic Pattern-Based Content Leakage Detection
  • 本地全文:下载
  • 作者:D Naga Lokeswari ; K Kavya ; D Madhu Babu
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:3
  • 页码:5036
  • DOI:10.15680/IJIRCCE.2017.0503252
  • 出版社:S&S Publications
  • 摘要:Due to the increasing popularity of multimedia streaming applications and services in recent years, theissue of trusted video delivery to prevent undesirable content-leakage has, become critical. While preserving userprivacy, conventional systems have addressed this issue by proposing methods based on the observation of streamedtraffic throughout the network. These conventional systems maintain a high detection accuracy while coping with someof the traffic variation in the network. By comparing videos of different lengths, we determine a relation between thelength of videos to be compared and the similarity between the compared videos. Therefore, we enhance the detectionperformance of the proposed scheme even in an environment subjected to variation in length of video. Through a testbed experiment, the effectiveness of our proposed scheme is evaluated in terms of variation of video length, delayvariation, and packet loss.
  • 关键词:Streaming content; leakage detection; traffic pattern; packet generation
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