Reinterpreting Usability of Semantic Segmentation Approach for Darknet Traffic Analysis

Anzhelika Mezina; Radim Burget; Aleksandr Ometov

doi:10.1016/j.comnet.2024.110493

Reinterpreting Usability of Semantic Segmentation Approach for Darknet Traffic Analysis

Anzhelika Mezina, Radim Burget, Aleksandr Ometov

Sähkötekniikka

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Alkuperäiskieli	Englanti
Artikkeli	110493
Julkaisu	Computer Networks
Vuosikerta	249
DOI - pysyväislinkit	https://doi.org/10.1016/j.comnet.2024.110493
Tila	Julkaistu - 10 toukok. 2024
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisufoorumi-taso

Jufo-taso 2

Pääsy asiakirjaan

10.1016/j.comnet.2024.110493Lisenssi: CC BY

Reinterpreting Usability of Semantic Segmentation Approach for Darknet Traffic AnalysisFinal published version, 3,05 MBLisenssi: CC BY

https://urn.fi/URN:NBN:fi:tuni-202409308993Lisenssi: CC BY

Siteeraa tätä

@article{5e2400afaabf48b7a6af376b64b08aab,

title = "Reinterpreting Usability of Semantic Segmentation Approach for Darknet Traffic Analysis",

keywords = "Deep learning, darknet, detection, Unet++, feature analysis, traffic, classification",

author = "Anzhelika Mezina and Radim Burget and Aleksandr Ometov",

year = "2024",

month = may,

day = "10",

doi = "10.1016/j.comnet.2024.110493",

language = "English",

volume = "249",

journal = "Computer Networks",

issn = "1389-1286",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Reinterpreting Usability of Semantic Segmentation Approach for Darknet Traffic Analysis

AU - Mezina, Anzhelika

AU - Burget, Radim

AU - Ometov, Aleksandr

PY - 2024/5/10

Y1 - 2024/5/10

KW - Deep learning

KW - darknet

KW - detection

KW - Unet++

KW - feature analysis

KW - traffic

KW - classification

U2 - 10.1016/j.comnet.2024.110493

DO - 10.1016/j.comnet.2024.110493

M3 - Article

SN - 1389-1286

VL - 249

JO - Computer Networks

JF - Computer Networks

M1 - 110493

ER -