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
SDAID: Towards a Hybrid Signature and Deep Analysis-based I..:
, In:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference
,
Vo, Hoang V.
;
Nguyen, Hoa N.
;
Nguyen, Tu N.
. - p. 2615-2620 , 2022
Link:
https://doi.org/10.1109/GLOBECOM48099.2022.10001582
RT T1 <cTitle>GLOBECOM 2022 - 2022 IEEE Global Communications Conference</cTitle>: T1 <Title>SDAID: Towards a Hybrid Signature and Deep Analysis-based Intrusion Detection Method</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10001582&Exemplar=1&LAN=DE A1 Vo, Hoang V. A1 Nguyen, Hoa N. A1 Nguyen, Tu N. A1 Du, Hanh P. YR 2022 K1 Deep learning K1 Measurement K1 Training K1 Neural networks K1 Intrusion detection K1 Inspection K1 Prediction algorithms K1 Deep Neural Network K1 Intrusion Detection K1 Traffic Deep Analysis K1 Training Dataset Augmentation SP 2615 OP 2620 LK http://dx.doi.org/https://doi.org/10.1109/GLOBECOM48099.2022.10001582 DO https://doi.org/10.1109/GLOBECOM48099.2022.10001582 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
