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
IOT Security and Machine Learning Algorithms: Survey and An..:
, In:
2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)
,
Venkatesh, Rachakonda
;
Malarvizhi, N.
- p. 444-451 , 2023
Link:
https://doi.org/10.1109/ICOEI56765.2023.10125626
RT T1
2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)
: T1
IOT Security and Machine Learning Algorithms: Survey and Analysis
UL https://suche.suub.uni-bremen.de/peid=ieee-10125626&Exemplar=1&LAN=DE A1 Venkatesh, Rachakonda A1 Malarvizhi, N. YR 2023 K1 Surveys K1 Privacy K1 Transforms K1 Machine learning K1 Computer architecture K1 Network security K1 Market research K1 Internet of Things (IOT) K1 Attack K1 Device K1 Security SP 444 OP 451 LK http://dx.doi.org/https://doi.org/10.1109/ICOEI56765.2023.10125626 DO https://doi.org/10.1109/ICOEI56765.2023.10125626 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)