Retina: An open-source tool for flexible analysis of RTC traffic

Author:

Perna Gianluca,Markudova DenaORCID,Trevisan MartinoORCID,Garza PaoloORCID,Meo Michela,Munafò Maurizio M.ORCID

Funder

Cisco Systems

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference14 articles.

1. The lockdown effect: Implications of the COVID-19 pandemic on internet traffic;Feldmann,2020

2. Campus traffic and e-learning during COVID-19 pandemic;Favale;Comput. Netw.,2020

3. RTP: A Transport protocol for real-time applications;Frederick,1996

4. A comparative study of RTC applications;Nistico,2020

5. Flow monitoring explained: From packet capture to data analysis with netflow and ipfix;Hofstede;IEEE Commun. Surv. Tutor.,2014

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1. User-centric Markov reward model for state-dependent Erlang loss systems;Performance Evaluation;2024-08

2. Towards the Detection of Unobservable Losses in Real-Time Communications;2024 IEEE 30th International Symposium on Local and Metropolitan Area Networks (LANMAN);2024-07-10

3. Where Did My Packet Go? Real-Time Prediction of Losses in Networks;ICC 2023 - IEEE International Conference on Communications;2023-05-28

4. Retina;Proceedings of the ACM SIGCOMM 2022 Conference;2022-08-22

5. Real-time Application Identification of RTC Media Streams via Encrypted Traffic Analysis;2022 International Conference on Computer Communications and Networks (ICCCN);2022-07

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