Multiplexing Scheme Updates for Secure Real-time Transport Protocol (SRTP) Extension for Datagram Transport Layer Security (DTLS)

Petit-Huguenin, Marc; Salgueiro, Gonzalo

doi:10.17487/rfc7983

Cited by 6 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…10 For some analyses, we also consider accuracy as a concise index of overall performance, since classes are not strongly imbalanced. 11 Feature extraction. We extract features from the packets separately by RTP stream and time bin.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Real-Time Classification of Real-Time Communications

Perna

Markudova

Trevisan

et al. 2022

IEEE Trans. Netw. Serv. Manage.

View full text Add to dashboard Cite

Real-time communication (RTC) applications have become largely popular in the last decade with the spread of broadband and mobile Internet access. Nowadays, these platforms are a fundamental means for connecting people and supporting businesses that increasingly rely on forms of remote work. In this context, it is of paramount importance to operate at the network level to ensure adequate Quality of Experience (QoE) for users, and appropriate traffic management policies are essential to prioritize RTC traffic. This in turn requires the network to be able to identify RTC streams and the type of content they carry.In this paper, we propose a machine learning-based application to classify media streams generated by RTC applications encapsulated in Secure Real-Time Protocol (SRTP) flows in real-time. Using carefully tuned features extracted from packet characteristics, we train models to classify streams into a variety of classes, including media type (audio/video), video quality, and redundant streams. We validate our approach using traffic from over 62 hours of multi-party meetings conducted using two popular RTC applications, namely Cisco Webex Teams and Jitsi Meet. We achieve an overall accuracy of 96% for Webex and 95% for Jitsi, using a lightweight decision tree model that makes decisions based solely on 1 second of real-time traffic. Our results show that models trained for a particular meeting software have difficulty when used with another one, although domain adaptation techniques facilitate the transfer of pretrained models.

show abstract

Section: Methodsmentioning

confidence: 99%

“…ICE [10] combines STUN and TURN into a single technique. RFC 7983 [11] defines a simple mechanism for multiplexing RTP, STUN, and other protocols on the same UDP flow.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Classification of Real-Time Communications

Perna

Markudova

Trevisan

et al. 2022

IEEE Trans. Netw. Serv. Manage.

View full text Add to dashboard Cite

show abstract

“…The traffic captures using the dedicated dongle device (Chromecast) confirm that the observed traffic is consistently compatible with WebRTC. When the multimedia session begins, the client starts a normal WebRTC peer connection to the server, creating a UDP flow in which DTLS, STUN and RTP are multiplexed according to the RFC 7893 [27]. RTP is used for multimedia streaming, while DTLS carries the user's input.…”

Section: Stadiamentioning

confidence: 99%

A Network Analysis on Cloud Gaming: Stadia, GeForce Now and PSNow

Domenico

Perna

Trevisan

et al. 2021

Network

View full text Add to dashboard Cite

Cloud gaming is a class of services that promises to revolutionize the videogame market. It allows the user to play a videogame with essential equipment while using a remote server for the actual execution. The multimedia content is streamed through the network from the server to the user. Hence, this service requires low latency and a large bandwidth to work properly with low response time and high-definition video. Three of the leading tech companies (Google, Sony, and NVIDIA) entered this market with their products, and others, like Microsoft and Amazon, are also launching their platforms. However, these companies have released little information about their cloud gaming operation and how they utilize the network. In this work, we study cloud gaming services from the network point of view. We collect more than 200 packet traces under different application settings and network conditions from a broadband network to poor mobile network conditions, for 3 cloud gaming services, namely Stadia from Google, GeForce Now from NVIDIA and PS Now from Sony. We analyze the employed protocols and the workload that they impose on the network. We find that GeForce Now and Stadia use the RTP protocol to stream the multimedia content, with the latter relying on the standard WebRTC APIs. Depending on the network and video quality, they result in bandwidth-hungry services consuming up to 45 Mbit/s. PS Now instead uses only undocumented protocols and never exceeds 13 Mbit/s. 4G mobile networks can often sustain these loads, while traditional 3G connections struggle. The systems quickly react to deteriorated network conditions, and packet losses up to 5% do not cause a reduction in resolution.

show abstract

“…The traffic captures using the dedicated dongle device (Chromecast) confirm that the observed traffic is consistently compatible with WebRTC. When the multimedia session begins, the client starts a normal WebRTC peer connection towards the server, creating a UDP flow in which DTLS, STUN and RTP are multiplexed according to the RFC 7893 [23]. RTP is used for multimedia streaming, while DTLS carries the user's input.…”

Section: Stadiamentioning

confidence: 99%

A network analysis on cloud gaming: Stadia, GeForce Now and PSNow

Di Domenico,

Perna,

Trevisan

et al. 2020

Preprint

View full text Add to dashboard Cite

Cloud gaming is a new class of services that promises to revolutionize the videogame market. It allows the user to play a videogame with basic equipment while using a remote server for the actual execution. The multimedia content is streamed through the network from the server to the user. This service requires low latency and a large bandwidth to work properly with low response time and high-definition video. Three among the leading tech companies, (Google, Sony and NVIDIA) entered this market with their own products, and others, like Microsoft and Amazon, are planning to launch their own platforms in the near future. However, these companies released so far little information about their cloud gaming operation and how they utilize the network.In this work, we study these new cloud gaming services from the network point of view. We collect more than 200 packet traces under different application settings and network conditions for 3 cloud gaming services, namely Stadia from Google, GeForce Now from NVIDIA and PS Now from Sony. We analyze the employed protocols and the workload they impose on the network. We find that GeForce Now and Stadia use the RTP protocol to stream the multimedia content, with the latter relying on the standard WebRTC APIs. They result bandwidthhungry and consume up to 45 Mbit/s, depending on the network and video quality. PS Now instead uses only undocumented protocols and never exceeds 13 Mbit/s.

show abstract

Multiplexing Scheme Updates for Secure Real-time Transport Protocol (SRTP) Extension for Datagram Transport Layer Security (DTLS)

Abstract: This document defines how Datagram

Cited by 6 publications

References 9 publications

Real-Time Classification of Real-Time Communications

Real-Time Classification of Real-Time Communications

A Network Analysis on Cloud Gaming: Stadia, GeForce Now and PSNow

A network analysis on cloud gaming: Stadia, GeForce Now and PSNow

Contact Info

Product

Resources

About