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
Anomaly Detection in Network Traffic using Deep Learning:
, In:
2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET)
,
Sharma, Kshitiz
;
Chaudhary, Mahak
;
Yadav, Komal
. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICRASET59632.2023.10419951
RT T1
2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET)
: T1
Anomaly Detection in Network Traffic using Deep Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10419951&Exemplar=1&LAN=DE A1 Sharma, Kshitiz A1 Chaudhary, Mahak A1 Yadav, Komal A1 Thakur, Payal YR 2023 K1 Deep learning K1 Statistical analysis K1 Neural networks K1 Telecommunication traffic K1 Safety K1 Behavioral sciences K1 Anomaly detection K1 Autoencoders K1 Artificial-Neural-Networks K1 Deep-Learning K1 Convolutional Neural Networks SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICRASET59632.2023.10419951 DO https://doi.org/10.1109/ICRASET59632.2023.10419951 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)