DP matching approach for streaming contents detection using traffic pattern

Kazumasa Matsuda, Hidehisa Nakayama, Nei Kato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Since the video streaming technology has become widespread, the security of video contents has gained more importance. Our research group previously envisioned a video leakage detection method for streaming contents that makes use of traffic patterns extracted from only traffic volume information obtained from routers. However, as the background traffic increases, packet delay and jitter increase. As a consequence, the detection accuracy decreases. In this paper,we propose a newrobustmethod, which is more resilient to increasing packet delay and jitter by improving the generation process of traffic patterns. In addition, we solve another problem induced by packet loss by using Dynamic Programming (DP) matching. Finally, we evaluate the influence of the background traffic on streaming video detection and discuss the results.

Original languageEnglish
Title of host publicationAccess Networks - 4th International Conference, AccessNets 2009, Revised Selected Papers
Pages232-247
Number of pages16
DOIs
Publication statusPublished - 2010
Event4th International Conference on Access Networks, AccessNets 2009 - Hong Kong, China
Duration: 2009 Nov 12009 Nov 3

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume37 LNICST
ISSN (Print)1867-8211

Other

Other4th International Conference on Access Networks, AccessNets 2009
CountryChina
CityHong Kong
Period09/11/109/11/3

Keywords

  • Content delivery
  • Streaming
  • Traffic pattern
  • Video detection

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'DP matching approach for streaming contents detection using traffic pattern'. Together they form a unique fingerprint.

Cite this