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 Model Based on GCN and TCN for Malicious Code Detection i..:
, In:
2024 4th International Conference on Neural Networks, Information and Communication (NNICE)
,
Na, Qionglan
;
Zhang, Shijun
;
Li, Xin
... - p. 276-280 , 2024
Link:
https://doi.org/10.1109/NNICE61279.2024.10499045
RT T1
2024 4th International Conference on Neural Networks, Information and Communication (NNICE)
: T1
A Model Based on GCN and TCN for Malicious Code Detection in Power Information System
UL https://suche.suub.uni-bremen.de/peid=ieee-10499045&Exemplar=1&LAN=DE A1 Na, Qionglan A1 Zhang, Shijun A1 Li, Xin A1 Lai, Ji A1 Yang, Yixi A1 Zeng, Jing YR 2024 K1 Representation learning K1 Correlation K1 Codes K1 Semantics K1 Feature extraction K1 Malware K1 Power grids K1 Power grid K1 Smart grid K1 Information security K1 Malicious code detection SP 276 OP 280 LK http://dx.doi.org/https://doi.org/10.1109/NNICE61279.2024.10499045 DO https://doi.org/10.1109/NNICE61279.2024.10499045 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)