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 Hybrid Deep Random Neural Network for Cyberattack Detecti..:
Huma, Zil E
;
Latif, Shahid
;
Ahmad, Jawad
...
http://researchrepository.napier.ac.uk/Output/2762541. , 2021
Link:
https://doi.org/10.1109/access.2021.3071766
RT Journal T1
A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things
UL https://suche.suub.uni-bremen.de/peid=base-ftnapieruniv:oai:repository@napier.ac.uk:2762541&Exemplar=1&LAN=DE A1 Huma, Zil E A1 Latif, Shahid A1 Ahmad, Jawad A1 Idrees, Zeba A1 Ibrar, Anas A1 Zou, Zhuo A1 Alqahtani, Fehaid A1 Baothman, Fatmah PB Institute of Electrical and Electronics Engineers YR 2021 K1 Attack detection K1 cybersecurity K1 deep learning K1 Industrial Internet of Things K1 random neural network JF http://researchrepository.napier.ac.uk/Output/2762541 LK http://dx.doi.org/https://doi.org/10.1109/access.2021.3071766 DO https://doi.org/10.1109/access.2021.3071766 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)