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
The Use of Honeypot in Machine Learning Based on Malware De..:
, In:
2020 8th International Conference on Cyber and IT Service Management (CITSM)
,
Matin, Iik Muhamad Malik
;
Rahardjo, Budi
- p. 1-6 , 2020
Link:
https://doi.org/10.1109/CITSM50537.2020.9268794
RT T1
2020 8th International Conference on Cyber and IT Service Management (CITSM)
: T1
The Use of Honeypot in Machine Learning Based on Malware Detection: A Review
UL https://suche.suub.uni-bremen.de/peid=ieee-9268794&Exemplar=1&LAN=DE A1 Matin, Iik Muhamad Malik A1 Rahardjo, Budi YR 2020 K1 Malware K1 Machine learning K1 Libraries K1 Bibliographies K1 Systematics K1 Market research K1 Databases K1 SLR K1 honeypot K1 machine learning K1 malware K1 survey SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/CITSM50537.2020.9268794 DO https://doi.org/10.1109/CITSM50537.2020.9268794 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)