DocumentCode
2809740
Title
Design-Time Learning for Operational Planning Improvement
Author
Martinez, Daniel J. ; Marin, Juan M. ; Bernal, Jorge ; Gil, Manuel ; Gomez-Skarmeta, Antonio F.
Author_Institution
Dept. of Inf. & Commun. Eng., Univ. of Murcia, Murcia
fYear
2008
fDate
25-31 Aug. 2008
Firstpage
326
Lastpage
331
Abstract
This document describes how the DESEREC framework can be enhanced through the usage of an offline learning loop. This mechanism consists basically of computational methods and techniques which enable the framework to gradually improve the effectiveness of its behaviour, by analysing internal data produced by some of the modules, applying some learning algorithms to them and to the information received from the administrator and using then the results for enhancing the framework operation. The learning loop presented here is strictly related to the improving the quality of the generated operational configurations, which is achieved by adjusting the decisions made by the Planning module while carrying out its task.
Keywords
learning (artificial intelligence); DESEREC framework; computational method; design-time learning; offline learning loop; operational planning improvement; Algorithm design and analysis; Communication system security; Data analysis; Design engineering; Gas insulated transmission lines; Humans; Information analysis; Information security; Marine technology; Technology planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Security Information, Systems and Technologies, 2008. SECURWARE '08. Second International Conference on
Conference_Location
Cap Esterel
Print_ISBN
978-0-7695-3329-2
Electronic_ISBN
978-0-7695-3329-2
Type
conf
DOI
10.1109/SECURWARE.2008.57
Filename
4622602
Link To Document