Results

eNauka >  Rezultati >  Entropy-based network traffic anomaly classification method resilient to deception
Naziv: Entropy-based network traffic anomaly classification method resilient to deception
Autori: J. Ibrahim; S. Gajin  
Godina: 2022
Publikacija: COMPUTER SCIENCE AND INFORMATION SYSTEMS - COMSIS
ISSN: 1820-0214 Computer Science and Information Systems / ComSIS Pretraži identifikator
Tip rezultata: Naučni članak
Kolacija: vol. 19 br. 1 str. 87-116
DOI: 10.2298/CSIS201229045I
WoS-ID: 000755041300003
Scopus-ID: 2-s2.0-85122231140
URI: https://enauka.gov.rs/handle/123456789/735212
https://plus.cobiss.net/cobiss/sr/sr/bib/153138953#izum.si
http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/708399
M-kategorija: 
22M22 - Međunarodni časopis kategorije M22

15
SCOPUSTM
10
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.