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
Predicting Potentially Undetectable Flows in DPI System usi..:
, In:
2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
,
Saha, Ankan
;
Trivedi, Uday
;
Varun, S.
- p. 131-136 , 2021
Link:
https://doi.org/10.1109/ANTS52808.2021.9936960
RT T1
2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
: T1
Predicting Potentially Undetectable Flows in DPI System using Machine Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-9936960&Exemplar=1&LAN=DE A1 Saha, Ankan A1 Trivedi, Uday A1 Varun, S. YR 2021 SN 2153-1684 K1 Training K1 Machine learning algorithms K1 Protocols K1 Machine learning K1 Predictive models K1 Feature extraction K1 Throughput K1 Deep packet Inspection K1 Machine Learning K1 Flow detection prediction SP 131 OP 136 LK http://dx.doi.org/https://doi.org/10.1109/ANTS52808.2021.9936960 DO https://doi.org/10.1109/ANTS52808.2021.9936960 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)