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Extended Abstract: A Transfer Learning-Based Training Approach for DGA Classification

; ;

In
Detection of intrusions and malware, and vulnerability assessment : 21st international conference, DIMVA 2024, Lausanne, Switzerland, July 17-19, 2024 : proceedings / Federico Maggi, Manuel Egele, Mathias Payer, Michele Carminati, editors, Seiten/Artikel-Nr: 381-391

Konferenz/Event:21. International Conference International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment , Lausanne , Switzerland , DIMVA 2024 , 2024-07-17 - 2024-07-19

ImpressumCham : Springer

Umfang381-391

ISBN978-3-031-64170-1, 978-3-031-64171-8

ReiheLecture notes in computer science ; 14828

First Online: 09 July 2024

Online
DOI: 10.1007/978-3-031-64171-8_20


Einrichtungen

  1. Lehr- und Forschungsgebiet IT-Sicherheit (123520)
  2. Fachgruppe Informatik (120000)
  3. Lehrstuhl für Kommunikation und verteilte Systeme (Informatik 4) (121710)



Dokumenttyp
Abstract (Extended abstract)/Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85200659993
WOS Core Collection: WOS:001314363700020

Interne Identnummern
RWTH-2024-09988
Datensatz-ID: 995553

Beteiligte Länder
Germany

 GO

NationallizenzNationallizenz ; SCOPUS
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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Document types > Presentations > Abstracts
Faculty of Computer Science (Fac.9)
Public records
Publications database
120000
123520
121710
 Record created 2024-10-22, last modified 2026-01-29
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