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 Reinforcement Learning-Based Defense Strategy Selectio:
, In:
Proceedings of the 17th International Conference on Availability, Reliability and Security
,
Charpentier, Axel
;
Boulahia Cuppens, Nora
;
Cuppens, Frédéric
. - p. 1-11 , 2022
Link:
https://dl.acm.org/doi/10.1145/3538969.3543789
RT T1
Proceedings of the 17th International Conference on Availability, Reliability and Security
: T1
Deep Reinforcement Learning-Based Defense Strategy Selection
UL https://suche.suub.uni-bremen.de/peid=acm-3543789&Exemplar=1&LAN=DE A1 Charpentier, Axel A1 Boulahia Cuppens, Nora A1 Cuppens, Frédéric A1 Yaich, Reda PB ACM YR 2022 K1 Deception K1 Deep Reinforcement Learning K1 Moving Target Defense K1 Security and privacy K1 Network security K1 Computing methodologies K1 Modeling and simulation K1 Machine learning K1 Systems security SP 1 OP 11 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3538969.3543789 DO https://dl.acm.org/doi/10.1145/3538969.3543789 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)