Automating Role-based Provisioning by Learning from Examples
Role-based provisioning has been adopted as a standard component
in leading Identity Management products due to its low administration
cost. However, the cost of adjusting existing roles to entitlements
from newly deployed applications is usually very high. In
this paper, a learning-based approach to automate the provisioning
process is proposed and its effectiveness is verified by real provisioning
data. Specific learning issues related to provisioning are
identified and relevant solutions are presented.
Date: June 30, 2009
Type: Article
Edition: 14th
Chapter: ACM
Publisher: Symposium on Access control models and technologies (SACMAT 2009),
Address: Stresa, Italy
Downloads: 356
Has 1 soft copy
size 2265325 bytesBibtex
@Article{Automating_Role_based_Provisioning_by_Le,
author = "Elisa Bertino and Pankaj Rohatgi and Seraphin Calo and Jorge Lobo and Qun ni",
title = "{Automating Role-based Provisioning by Learning from Examples}",
month = "June",
year = "2009",
edition = "14th",
chapter = "ACM",
address = ", Stresa, Italy",
publisher = "Symposium on Access control models and technologies (SACMAT 2009),",
}