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
Anomaly-Based Intrusion Detection System for IoT Environmen..:
, In:
2023 IEEE International Carnahan Conference on Security Technology (ICCST)
,
Patil, Arya
;
Machale, Digvijay
;
Goswami, Dipanshu
.. - p. 1-4 , 2023
Link:
https://doi.org/10.1109/ICCST59048.2023.10474238
RT T1
2023 IEEE International Carnahan Conference on Security Technology (ICCST)
: T1
Anomaly-Based Intrusion Detection System for IoT Environment Using Machine Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10474238&Exemplar=1&LAN=DE A1 Patil, Arya A1 Machale, Digvijay A1 Goswami, Dipanshu A1 Muley, Parimal A1 Rajarapollu, Prachi YR 2023 SN 2153-0742 K1 Support vector machines K1 Roads K1 Intrusion detection K1 Forestry K1 Machine learning K1 Classification algorithms K1 Safety K1 IoT K1 Intrusion K1 cyber security K1 hackers SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICCST59048.2023.10474238 DO https://doi.org/10.1109/ICCST59048.2023.10474238 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)