An Algorithm for Building User-role Profiles in a Trust Environment
Abstract
A good direction towards building secure systems that operate efficiently in large-scale environments (like the World Wide Web) is the deployment of Role Based Access Control Methods (RBAC). RBAC architectures do not deal with each user separately, but with discrete roles that users can acquire in the system. The goal of this paper is to present a classification algorithm that during its training phase, classifies roles of the users in clusters. The behavior of each user that enters the system holding a specific role is traced via audit trails and any misbehavior is detected and reported (classification phase). This algorithm will be incorporated in the Role Server architecture, currently under development, enhancing its ability to dynamically adjust the amount of trust of each user and update the corresponding role assignments. © 2002 Springer-Verlag Berlin Heidelberg.
Recommended Citation
E. Terzi et al., "An Algorithm for Building User-role Profiles in a Trust Environment," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2454 LNCS, pp. 104 - 113, Springer, Jan 2002.
The definitive version is available at https://doi.org/10.1007/3-540-46145-0_11
Department(s)
Computer Science
International Standard Book Number (ISBN)
978-354044123-6
International Standard Serial Number (ISSN)
1611-3349; 0302-9743
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Springer, All rights reserved.
Publication Date
01 Jan 2002
