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
Combining CNNs and Bi-LSTMs for Enhanced Network Intrusion ..:
, In:
2023 3rd International Conference on Computing and Information Technology (ICCIT)
,
Praveen, S Phani
;
Sindhura, S
;
Srinivasu, Parvathaneni Naga
. - p. 261-268 , 2023
Link:
https://doi.org/10.1109/ICCIT58132.2023.10273871
RT T1 <cTitle>2023 3rd International Conference on Computing and Information Technology (ICCIT)</cTitle>: T1 <Title>Combining CNNs and Bi-LSTMs for Enhanced Network Intrusion Detection: A Deep Learning Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10273871&Exemplar=1&LAN=DE A1 Praveen, S Phani A1 Sindhura, S A1 Srinivasu, Parvathaneni Naga A1 Ahmed, Shakeel YR 2023 K1 Deep learning K1 Analytical models K1 Computational modeling K1 Phishing K1 Network intrusion detection K1 Telecommunication traffic K1 Network security K1 Convolutional Neural Networks K1 Bidirectional Long Short-Term Memory K1 NSL-KDD dataset K1 Stratified K-Fold cross-validation SP 261 OP 268 LK http://dx.doi.org/https://doi.org/10.1109/ICCIT58132.2023.10273871 DO https://doi.org/10.1109/ICCIT58132.2023.10273871 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
