Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Kenjiro Cho"'
Autor:
Kenjiro Cho, Jean-François Baffier
Publikováno v:
Proceedings of the 6th International Workshop on Edge Systems, Analytics and Networking.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54ab3504338c8f0a07a25c3fad0e5f6e
https://doi.org/10.1145/3578354.3592864
https://doi.org/10.1145/3578354.3592864
Autor:
Jeremy Kepner, Kenjiro Cho, KC Claffy, Vijay Gadepally, Sarah McGuire, Lauren Milechin, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
Publikováno v:
Massive Graph Analytics ISBN: 9781003033707
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe99b98c682a20ac669fa095762c813c
https://doi.org/10.1201/9781003033707-13
https://doi.org/10.1201/9781003033707-13
Publikováno v:
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afcb073fa6357ea2a69d6d6d8bc01daa
https://doi.org/10.1109/noms54207.2022.9789823
https://doi.org/10.1109/noms54207.2022.9789823
Publikováno v:
Internet Measurement Conference
Last-mile is the centerpiece of broadband connectivity, as poor last-mile performance generally translates to poor quality of experience. In this work we investigate last-mile latency using traceroute data from RIPE Atlas probes located in 646 ASes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7f1e9557239c79c3685a87d2c13b348
https://doi.org/10.1145/3419394.3423648
https://doi.org/10.1145/3419394.3423648
Publikováno v:
Computer Networks. 135:15-31
Traffic anomalies arise from network problems, and so detection and diagnosis are useful tools for network managers. A great deal of progress has been made on this problem so far, but most approaches can be thought of as forcing the data to fit a sin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4b1feb32c81201e3be7c91ef7265faf
https://doi.org/10.1016/j.comnet.2018.01.025
https://doi.org/10.1016/j.comnet.2018.01.025
Publikováno v:
TMA
Recent reports show that BGP hijacking has increased substantially. BGP hijacking allows malicious ASes to obtain IP prefixes for spamming as well as intercepting or blackholing traffic. While systems to prevent hijacks are hard to deploy and require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b3d8bb4de7197183d4e3fdae511274b
https://doi.org/10.23919/tma.2019.8784511
https://doi.org/10.23919/tma.2019.8784511
Publikováno v:
HPEC
The Internet is transforming our society, necessitating a quantitative understanding of Internet traffic. Our team collects and curates the largest publicly available Internet traffic data containing 50 billion packets. Utilizing a novel hypersparse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dc8a5cf26821b45674f970ba04604b2
Publikováno v:
INFOCOM Workshops
Security and privacy have become major concerns for Internet communications. In order to prevent eavesdropping and tampering a lot of Internet protocols rely the Transport Security Layer (TLS). In this paper we aim to quantify the adoption of TLS usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b5f4094fe89e3c72a0e6f179afef717
https://doi.org/10.1109/infcomw.2018.8406957
https://doi.org/10.1109/infcomw.2018.8406957
Publikováno v:
IMDEA Networks Institute Digital Repository
IMDEA Networks Institute
instname
IMDEA Networks Institute
instname
The work of Marcelo Bagnulo has been partially supported by project MASSES (TEC2012-35443) funded by the Spanish Ministry of Economy and Competitiveness (MINECO). The advertisement of more-specific prefixes provides network operators with a fine-grai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e4e074f7594b18f81a0c02d51de2758
https://doi.org/10.1016/j.comnet.2015.02.008
https://doi.org/10.1016/j.comnet.2015.02.008
Autor:
Kenjiro Cho
Publikováno v:
Internet Measurement Conference
The multidimensional Hierarchical Heavy Hitter (HHH) problem identifies significant clusters in traffic across multiple planes such as source and destination addresses, and has been widely studied in the literature. A compact summary of HHHs provides
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cffe04746a8bd1ffb563fca25b80b4c0
https://doi.org/10.1145/3131365.3131377
https://doi.org/10.1145/3131365.3131377