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
An Enhanced Feature-Based Hybrid Approach for Adversarial P..:
, In:
2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
,
Hossain, G.M. Sakhawat
;
Deb, Kaushik
;
Sarker, Iqbal H.
- p. 101-106 , 2024
Link:
https://doi.org/10.1109/ICEEICT62016.2024.10534412
RT T1
2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
: T1
An Enhanced Feature-Based Hybrid Approach for Adversarial PDF Malware Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-10534412&Exemplar=1&LAN=DE A1 Hossain, G.M. Sakhawat A1 Deb, Kaushik A1 Sarker, Iqbal H. YR 2024 SN 2769-5700 K1 Artificial neural networks K1 Inspection K1 Portable document format K1 Feature extraction K1 Malware K1 Communications technology K1 Standards K1 PDF Malware K1 Malicious PDF K1 Flag Features K1 Enhanced Features K1 Adversarial Attack K1 Machine Learning SP 101 OP 106 LK http://dx.doi.org/https://doi.org/10.1109/ICEEICT62016.2024.10534412 DO https://doi.org/10.1109/ICEEICT62016.2024.10534412 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)