Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chamara Kattadige"'
Publikováno v:
NOSSDAV
Unlike conventional videos, 360�� videos give freedom to users to turn their heads, watch and interact with the content owing to its immersive spherical environment. Although these movements are arbitrary, similarities can be observed between vie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9340d58106b17231995eac100a3b78ec
https://doi.org/10.1145/3458306.3461000
https://doi.org/10.1145/3458306.3461000
PhD Forum: Encrypted Traffic Analysis & Content Awareness of 360-Degree Video Streaming Optimization
Autor:
Chamara Kattadige
Publikováno v:
WOWMOM
360°/VR videos are getting popular. However, these videos demand high bandwidth and processing power at the end devices. Though, viewport (VP) aware streaming can reduce the amount of data transmitted by streaming a limited portion of the frame cove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df0a8a70e521e0781448b7723a8124ca
https://doi.org/10.1109/wowmom51794.2021.00038
https://doi.org/10.1109/wowmom51794.2021.00038
Autor:
Guillaume Jourjon, Chamara Kattadige, Kwon Nung Choi, Haonan Wang, Kanchana Thilakarathna, Shashika R. Muramudalige, Anura P. Jayasumana
Publikováno v:
WOWMOM
Unlike the traditional Internet application such as web browsing and peer-to-peer(P2P), video streaming has been dominating the global network traffic for the past few years, raising many challenges for network providers. With the popularity of inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba99f34e2361ee456b321d1c9f383707
https://doi.org/10.1109/wowmom51794.2021.00034
https://doi.org/10.1109/wowmom51794.2021.00034
Publikováno v:
NOSSDAV
Streaming 360{\deg} video demands high bandwidth and low latency, and poses significant challenges to Internet Service Providers (ISPs) and Mobile Network Operators (MNOs). The identification of 360{\deg} video traffic can therefore benefits fixed an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::321f33317e85ced8e5fb41e7cc672973
http://arxiv.org/abs/2105.03611
http://arxiv.org/abs/2105.03611
Autor:
Suranga Seneviratne, Chamara Kattadige, Kwon Nung Choi, Guillaume Jourjon, Kanchana Thilakarathna, Achintha Wijesinghe
Publikováno v:
LCN
While end-to-end encryption brings security and privacy to the end-users, it makes legacy solutions such as Deep Packet Inspection ineffective. Despite the recent work in machine learning-based encrypted traffic classification, these new techniques w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3057f38b956b7cdd94a96a854880456d
https://doi.org/10.1109/lcn48667.2020.9314837
https://doi.org/10.1109/lcn48667.2020.9314837