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
Towards an intelligent adaptive security framework for prev..:
, In:
2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)
,
Cherif, Asma
;
Alshehri, Suhair
;
Kalkatawi, Manal
. - p. 1-8 , 2022
Link:
https://doi.org/10.1109/AICCSA56895.2022.10017814
RT T1 <cTitle>2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)</cTitle>: T1 <Title>Towards an intelligent adaptive security framework for preventing and detecting credit card fraud</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10017814&Exemplar=1&LAN=DE A1 Cherif, Asma A1 Alshehri, Suhair A1 Kalkatawi, Manal A1 Imine, Abdessamad YR 2022 SN 2161-5330 K1 Adaptive systems K1 Multi-factor authentication K1 Prototypes K1 Impersonation attacks K1 Banking K1 Passwords K1 Organizations K1 Adaptive authentication K1 Credit card fraud detection K1 Adaptive machine learning K1 Biometric authentication SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/AICCSA56895.2022.10017814 DO https://doi.org/10.1109/AICCSA56895.2022.10017814 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
