research-article

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A multi-perspective view of Internet censorship in Myanmar

Authors:

Ramakrishna Padmanabhan,

Arturo Filastò,

Ram Sundara Raman,

Kennedy Middleton,

Alberto DainottiAuthors Info & Claims

FOCI '21: Proceedings of the ACM SIGCOMM 2021 Workshop on Free and Open Communications on the Internet

Pages 27 - 36

https://doi.org/10.1145/3473604.3474562

Published: 23 August 2021 Publication History

Abstract

In the wake of a military coup in February 2021, Myanmar experienced unprecedented levels of Internet censorship. Beginning with haphazard blocking of social media and intermittent Internet connectivity outages, controls proceeded to stricter blocking of websites, the shutdown of cellular data in several networks, and nearly complete disconnection from the Internet every night. In this study, we use diverse datasets and measurement methods to offer a holistic view into the censorship events in Myanmar that occurred since the coup and show how Internet censorship evolved during this time.

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Gao MMok RCarisimo ELi EKulkarni Sclaffy kVallina-Rodríguez NSuarez-Tángil GLevin DPelsser C(2024)DarkSim: A similarity-based time-series analytic framework for darknet trafficProceedings of the 2024 ACM on Internet Measurement Conference10.1145/3646547.3688426(241-258)Online publication date: 4-Nov-2024
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Index Terms

A multi-perspective view of Internet censorship in Myanmar
1. Networks
  1. Network performance evaluation
    1. Network measurement

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FOCI '21: Proceedings of the ACM SIGCOMM 2021 Workshop on Free and Open Communications on the Internet

August 2021

59 pages

ISBN:9781450386401

DOI:10.1145/3473604

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Gao MMok RCarisimo ELi EKulkarni Sclaffy kVallina-Rodríguez NSuarez-Tángil GLevin DPelsser C(2024)DarkSim: A similarity-based time-series analytic framework for darknet trafficProceedings of the 2024 ACM on Internet Measurement Conference10.1145/3646547.3688426(241-258)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3646547.3688426
Salamatian LArdi CGiotsas VCalder MKatz-Bassett EArnold TVallina-Rodríguez NSuarez-Tángil GLevin DPelsser C(2024)What's in the Dataset? Unboxing the APNIC per AS User Population DatasetProceedings of the 2024 ACM on Internet Measurement Conference10.1145/3646547.3688411(165-182)Online publication date: 4-Nov-2024
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Kon PGattani ASaharia DCao TBarradas DChen ASherr MUjcich B(2024)NetShuffle: Circumventing Censorship with Shuffle Proxies at the Edge2024 IEEE Symposium on Security and Privacy (SP)10.1109/SP54263.2024.00036(3497-3514)Online publication date: 19-May-2024
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https://doi.org/10.1093/oso/9780197743577.001.0001
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