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
A Novel Intrusion Detection System based on Machine Learnin..:
, In:
2023 3rd International Conference on Smart Data Intelligence (ICSMDI)
,
Chauhan, Dhwanil
;
Shah, Margi
;
Joshi, Harshil
- p. 427-434 , 2023
Link:
https://doi.org/10.1109/ICSMDI57622.2023.00081
RT T1 <cTitle>2023 3rd International Conference on Smart Data Intelligence (ICSMDI)</cTitle>: T1 <Title>A Novel Intrusion Detection System based on Machine Learning for Internet of Things (IoT) Devices</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10127874&Exemplar=1&LAN=DE A1 Chauhan, Dhwanil A1 Shah, Margi A1 Joshi, Harshil YR 2023 K1 Training K1 Machine learning algorithms K1 Support vector machine classification K1 Intrusion detection K1 Boosting K1 Internet of Things K1 Object recognition K1 Intrusion Detection System K1 Machine Learning SP 427 OP 434 LK http://dx.doi.org/https://doi.org/10.1109/ICSMDI57622.2023.00081 DO https://doi.org/10.1109/ICSMDI57622.2023.00081 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
