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
Deep Learning Model to Improve Security in IOT Systems:
, In:
2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)
,
Rajeesh Kumar, N. V
;
Arun, M.
- p. 1-5 , 2022
Link:
https://doi.org/10.1109/ICSTSN53084.2022.9761347
RT T1
2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)
: T1
Deep Learning Model to Improve Security in IOT Systems
UL https://suche.suub.uni-bremen.de/peid=ieee-9761347&Exemplar=1&LAN=DE A1 Rajeesh Kumar, N. V A1 Arun, M. YR 2022 K1 Deep learning K1 Performance evaluation K1 Authentication K1 Memory K1 Hardware K1 Internet of Things K1 Security K1 IOT Security K1 Deep Learning K1 Integrity K1 Confidentiality SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICSTSN53084.2022.9761347 DO https://doi.org/10.1109/ICSTSN53084.2022.9761347 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)