I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
FTG-Net: Hierarchical Flow-to-Traffic Graph Neural Network ..:
, In:
2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR)
,
Barsellotti, Luca
;
De Marinis, Lorenzo
;
Cugini, Filippo
. - p. 173-178 , 2023
Link:
https://doi.org/10.1109/HPSR57248.2023.10147929
RT T1
2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR)
: T1
FTG-Net: Hierarchical Flow-to-Traffic Graph Neural Network for DDoS Attack Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-10147929&Exemplar=1&LAN=DE A1 Barsellotti, Luca A1 De Marinis, Lorenzo A1 Cugini, Filippo A1 Paolucci, Francesco YR 2023 SN 2325-5609 K1 Training K1 Network topology K1 Fuses K1 Force K1 Switches K1 Machine learning K1 Denial-of-service attack K1 cybersecurity K1 DDoS attack detection K1 machine learning K1 graph neural networks SP 173 OP 178 LK http://dx.doi.org/https://doi.org/10.1109/HPSR57248.2023.10147929 DO https://doi.org/10.1109/HPSR57248.2023.10147929 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)