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
HYBRIDROID: Using Hierarchical Machine Learning Algorithms ..:
, In:
2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
,
Bhagat, Akash Kumar
;
Mishra, Richa
- p. 1563-1568 , 2023
Link:
https://doi.org/10.1109/ICACITE57410.2023.10182806
RT T1
2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
: T1
HYBRIDROID: Using Hierarchical Machine Learning Algorithms to Spot Malicious Applications on Linux-Powered Smart phones: Deep Survey
UL https://suche.suub.uni-bremen.de/peid=ieee-10182806&Exemplar=1&LAN=DE A1 Bhagat, Akash Kumar A1 Mishra, Richa YR 2023 K1 Surveys K1 Computer hacking K1 Operating systems K1 Memory management K1 Static analysis K1 Machine learning K1 Production K1 ID3 K1 Android Permissions K1 Fast algorithm K1 PRNR K1 Malware detection K1 Deep learning SP 1563 OP 1568 LK http://dx.doi.org/https://doi.org/10.1109/ICACITE57410.2023.10182806 DO https://doi.org/10.1109/ICACITE57410.2023.10182806 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)