arXiv Open Access 2022

DaI: Decrypt and Infer the Quality of Real-Time Video Streaming

Sheng Cheng

Lihat Sumber

Abstrak

Inferring the quality of network services is the vital basis of optimization for network operators. However, prevailing real-time video streaming applications adopt encryption for security, leaving it a problem to extract Quality of Service (QoS) indicators of real-time video. In this paper, we propose DaI, a traffic-based real-time video quality estimator. DaI can partially decrypt the encrypted real-time video data and applies machine learning methods to estimate key objective Quality of Experience (QoE) metrics of real-time video. According to the experimental results, DaI can estimate objective QoE metrics with an average accuracy of 79%.

Topik & Kata Kunci

cs.MM cs.NI

Penulis (1)

Sheng Cheng

Format Sitasi

APA MLA BibTeX

Cheng, S. (2022). DaI: Decrypt and Infer the Quality of Real-Time Video Streaming. https://arxiv.org/abs/2211.02240

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓