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
Cluster Based Malicious Node Detection System for Mobile Ad..:
Subburayalu, Gopalakrishnan
;
Duraivelu, Hemanand
;
Raveendran, Arun Prasath
...
Journal of Applied Security Research. 18 (2021) 3 - p. 402-420 , 2021
Link:
https://doi.org/10.1080/19361610.2021.2002118
RT Journal T1
Cluster Based Malicious Node Detection System for Mobile Ad-Hoc Network Using ANFIS Classifier
UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_19361610.2021.2002118&Exemplar=1&LAN=DE A1 Subburayalu, Gopalakrishnan A1 Duraivelu, Hemanand A1 Raveendran, Arun Prasath A1 Arunachalam, Rajesh A1 Kongara, Deepika A1 Thangavel, Chitra PB Informa UK Limited YR 2021 SN 1936-1610 SN 1936-1629 JF Journal of Applied Security Research VO 18 IS 3 SP 402 OP 420 LK http://dx.doi.org/https://doi.org/10.1080/19361610.2021.2002118 DO https://doi.org/10.1080/19361610.2021.2002118 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)