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
Meta-TFEN: A Multi-Modal Deep Learning Approach for Encrypt..:
, In:
2023 33rd International Telecommunication Networks and Applications Conference
,
Gu, RuoYang
;
Fei, JinLong
;
Yu, Hao
... - p. 98-104 , 2023
Link:
https://doi.org/10.1109/ITNAC59571.2023.10368511
RT T1 <cTitle>2023 33rd International Telecommunication Networks and Applications Conference</cTitle>: T1 <Title>Meta-TFEN: A Multi-Modal Deep Learning Approach for Encrypted Malicious Traffic Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10368511&Exemplar=1&LAN=DE A1 Gu, RuoYang A1 Fei, JinLong A1 Yu, Hao A1 Zhu, YueFei A1 Yang, Kai A1 Guo, Fang YR 2023 SN 2474-154X K1 Deep learning K1 Metalearning K1 Protocols K1 Limiting K1 Internet security K1 Feature extraction K1 Malware K1 TLS protocol K1 Malicious traffic K1 Deep Learning K1 Multimodal K1 Meta-learning SP 98 OP 104 LK http://dx.doi.org/https://doi.org/10.1109/ITNAC59571.2023.10368511 DO https://doi.org/10.1109/ITNAC59571.2023.10368511 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
