Title
Traffic Pattern-Based Content Leakage Detection for Trusted Content Delivery Networks
Abstract
Due to the increasing popularity of multimedia streaming applications and services in recent years, the issue of trusted video delivery to prevent undesirable content-leakage has, indeed, become critical. While preserving user privacy, conventional systems have addressed this issue by proposing methods based on the observation of streamed traffic throughout the network. These conventional systems maintain a high detection accuracy while coping with some of the traffic variation in the network (e.g., network delay and packet loss), however, their detection performance substantially degrades owing to the significant variation of video lengths. In this paper, we focus on overcoming this issue by proposing a novel content-leakage detection scheme that is robust to the variation of the video length. By comparing videos of different lengths, we determine a relation between the length of videos to be compared and the similarity between the compared videos. Therefore, we enhance the detection performance 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, delay variation, and packet loss.
Year
DOI
Venue
2014
10.1109/TPDS.2013.32
Parallel and Distributed Systems, IEEE Transactions  
Keywords
Field
DocType
Internet,data protection,object detection,telecommunication traffic,video streaming,Internet,delay variation,multimedia streaming,packet loss,traffic pattern-based content leakage detection scheme,traffic variation,trusted content delivery networks,trusted video delivery,user privacy preservation,video length variation,Delay,Heuristic algorithms,Packet loss,Pattern matching,Robustness,Streaming content,Streaming media,degree of similarity,leakage detection,traffic pattern
Object detection,Network delay,Airfield traffic pattern,Computer science,Computer network,Testbed,Packet loss,Robustness (computer science),Real-time computing,Pattern matching,The Internet
Journal
Volume
Issue
ISSN
25
2
1045-9219
Citations 
PageRank 
References 
0
0.34
9
Authors
4
Name
Order
Citations
PageRank
Hiroki Nishiyama1128592.61
Desmond Fomo200.34
Zubair Md. Fadlullah375645.47
Nei Kato43982263.66