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
A Three-Level Deep Learning Intrusion Detection System for ..:
, In:
2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE)
,
Diallo, Abdoulaye
;
Affognon, Lionel
;
Diallo, Cherif
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICECCE61019.2023.10442798
RT T1
2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE)
: T1
A Three-Level Deep Learning Intrusion Detection System for IoT Network
UL https://suche.suub.uni-bremen.de/peid=ieee-10442798&Exemplar=1&LAN=DE A1 Diallo, Abdoulaye A1 Affognon, Lionel A1 Diallo, Cherif A1 Ezin, Eugene C. YR 2023 K1 Deep learning K1 Limiting K1 Intrusion detection K1 Security K1 Internet of Things K1 Floods K1 Intrusion Detection System K1 Autoencoder K1 Multi-Layer Perceptron SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICECCE61019.2023.10442798 DO https://doi.org/10.1109/ICECCE61019.2023.10442798 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)