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
Detection Approach of Malicious JavaScript Code Based on de..:
, In:
2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA)
,
Zheng, Liyuan
;
Zhang, Dongcheng
;
Xie, Xin
.. - p. 1075-1079 , 2023
Link:
https://doi.org/10.1109/ICIBA56860.2023.10165039
RT T1 <cTitle>2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA)</cTitle>: T1 <Title>Detection Approach of Malicious JavaScript Code Based on deep learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10165039&Exemplar=1&LAN=DE A1 Zheng, Liyuan A1 Zhang, Dongcheng A1 Xie, Xin A1 Wang, Chen A1 Hou, Boyuan YR 2023 K1 Deep learning K1 Codes K1 Machine learning algorithms K1 Neural networks K1 Bidirectional control K1 Production K1 Learning (artificial intelligence) K1 Malicious JavaScript code detection K1 Attentional Mechanisms K1 Deep Learning SP 1075 OP 1079 LK http://dx.doi.org/https://doi.org/10.1109/ICIBA56860.2023.10165039 DO https://doi.org/10.1109/ICIBA56860.2023.10165039 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
