VTIM: Video Title Identification Using Open Metadata

VTIM: Video Title Identification Using Open Metadata

Video-streaming applications are very popular these days. Existing studies of video streaming have attempted to identify video titles of users using machine learning techniques to identify specific patterns of video packets transmitted over the network. However, these studies have limitations when a...

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Bibliographic Details
Published in:IEEE access Vol. 8; pp. 113567 - 113584
Main Authors: Song, Juhyung, Lee, Suyeong, Kim, Baekjun, Seol, Soonuk, Lee, Ben, Kim, Myungchul
Format: Journal Article
Language:English
Published: Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Digital media
Information security
Machine learning
Metadata
network security
Packet transmission
Servers
Streaming media
Support vector machines
Transform coding
Video compression
video surveillance
Video transmission
YouTube
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Summary:Video-streaming applications are very popular these days. Existing studies of video streaming have attempted to identify video titles of users using machine learning techniques to identify specific patterns of video packets transmitted over the network. However, these studies have limitations when applied to actual environments where the network is congested or there are multiple users in the same network. This paper proposes Video Title Identification using open Metadata (VTIM), which identifies video titles by analyzing storyboards and Media Presentation Description (MPD) of MPEG-DASH in connection with video packets transmitted over the network. Attack was carried out using VTIM on 13,291 videos selected from actual video-streaming environment of YouTube. Our experiments show that VTIM is able to identify video titles with 100% accuracy at nearly thirty times faster than existing methods based on machine learning techniques. The paper also proposes and evaluates a countermeasure against VTIM.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3003378