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
Host-Based Intrusion Detection System for IoT using Convolu..:
, In:
2022 33rd Irish Signals and Systems Conference (ISSC)
,
Lightbody, Dominic
;
Ngo, Duc-Minh
;
Temko, Andriy
.. - p. 1-7 , 2022
Link:
https://doi.org/10.1109/ISSC55427.2022.9826188
RT T1
2022 33rd Irish Signals and Systems Conference (ISSC)
: T1
Host-Based Intrusion Detection System for IoT using Convolutional Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-9826188&Exemplar=1&LAN=DE A1 Lightbody, Dominic A1 Ngo, Duc-Minh A1 Temko, Andriy A1 Murphy, Colin A1 Popovici, Emanuel YR 2022 SN 2688-1454 K1 Training K1 Power demand K1 Time series analysis K1 Intrusion detection K1 Internet of Things K1 Convolutional neural networks K1 Security K1 IoT K1 IDS K1 sustainable security K1 anomaly detection K1 CNN K1 machine learning K1 HIDS K1 low-power SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ISSC55427.2022.9826188 DO https://doi.org/10.1109/ISSC55427.2022.9826188 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)