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
Deep Learning Based Malapps Detection in Android Powered Mo..:
, In:
2023 International Conference on Computing, Networking and Communications (ICNC)
,
Sayed, Moinul Islam
;
Saha, Sajal
;
Haque, Anwar
- p. 443-449 , 2023
Link:
https://doi.org/10.1109/ICNC57223.2023.10074208
RT T1
2023 International Conference on Computing, Networking and Communications (ICNC)
: T1
Deep Learning Based Malapps Detection in Android Powered Mobile Cyber-Physical System
UL https://suche.suub.uni-bremen.de/peid=ieee-10074208&Exemplar=1&LAN=DE A1 Sayed, Moinul Islam A1 Saha, Sajal A1 Haque, Anwar YR 2023 K1 Deep learning K1 Performance evaluation K1 Costs K1 Codes K1 Operating systems K1 Static analysis K1 Cyber-physical systems K1 Android K1 deep learning K1 malware K1 malapps K1 mobile cyber-physical system SP 443 OP 449 LK http://dx.doi.org/https://doi.org/10.1109/ICNC57223.2023.10074208 DO https://doi.org/10.1109/ICNC57223.2023.10074208 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)