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 Machine Automated Big Data Modular Framework for Finding ..:
, In:
2021 19th OITS International Conference on Information Technology (OCIT)
,
Panigrahi, Gyana Ranjana
;
Barpanda, Nalin Kanta
;
Biswal, Roumyaranjan
. - p. 161-166 , 2021
Link:
https://doi.org/10.1109/OCIT53463.2021.00041
RT T1 <cTitle>2021 19th OITS International Conference on Information Technology (OCIT)</cTitle>: T1 <Title>A Machine Automated Big Data Modular Framework for Finding Network Security Vulnerabilities</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9719542&Exemplar=1&LAN=DE A1 Panigrahi, Gyana Ranjana A1 Barpanda, Nalin Kanta A1 Biswal, Roumyaranjan A1 Samantaray, Debabrata YR 2021 K1 Training K1 Support vector machines K1 Big Data K1 Network security K1 Feature extraction K1 Data processing K1 Linear discriminant analysis K1 Machine Automation K1 Cybersecurity K1 Big data K1 Intrusion Detection K1 Apache Spark K1 CICDDoS2019 K1 NSL KDD SP 161 OP 166 LK http://dx.doi.org/https://doi.org/10.1109/OCIT53463.2021.00041 DO https://doi.org/10.1109/OCIT53463.2021.00041 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
