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
Detecting Reentrancy Vulnerability in Smart Contracts using..:
, In:
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)
,
Lakadawala, Hozefa
;
Dzigbede, Komla
;
Chen, Yu
- p. 188-193 , 2024
Link:
https://doi.org/10.1109/CCNC51664.2024.10454763
RT T1 <cTitle>2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)</cTitle>: T1 <Title>Detecting Reentrancy Vulnerability in Smart Contracts using Graph Convolution Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10454763&Exemplar=1&LAN=DE A1 Lakadawala, Hozefa A1 Dzigbede, Komla A1 Chen, Yu YR 2024 SN 2331-9860 K1 Machine learning algorithms K1 Regulators K1 Convolution K1 Smart contracts K1 Finance K1 Decentralized applications K1 Robustness K1 Vulnerability Detection K1 Smart Contract K1 Decentralized Finance (DeFi) K1 Deep Learning SP 188 OP 193 LK http://dx.doi.org/https://doi.org/10.1109/CCNC51664.2024.10454763 DO https://doi.org/10.1109/CCNC51664.2024.10454763 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
