Fingerprinting Technique for YouTube Videos Identification in Network Traffic
Author:
Affiliation:
1. Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan
2. Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA
Funder
National Centre of Cyber Security (NCCS), Pakistan
Higher Education Commission
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09832901.pdf?arnumber=9832901
Reference51 articles.
1. ITP-KNN: Encrypted Video Flow Identification Based on the Intermittent Traffic Pattern of Video and K-Nearest Neighbors Classification
2. Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming
3. Privacy-Aware High-Quality Map Generation with Participatory Sensing
4. LiFi: Line-Of-Sight identification with WiFi
5. SocialRec: A Context-Aware Recommendation Framework With Explicit Sentiment Analysis
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