An Algorithm for Building User-Role Profiles in a Trust Environment

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Author

Evimaria Terzi and Yuhui Zhong and Bharat Bhargava and Pankaj and Sanjay Madria

Tech report number

CERIAS TR 2002-29

Entry type

inproceedings

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.

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Address

Aix en Provence France

Booktitle

4th International Conference on Data Warehousing and Knowledge Discovery

Institution

CERIAS

Publisher

Springer-Verlag

Affiliation

computer science department

Publication Date

0000-00-00

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@Inproceedings{ ,
	title = "An Algorithm for Building User-Role Profiles in a Trust Environment",
	author = "Evimaria Terzi and Yuhui Zhong and Bharat Bhargava and Pankaj and Sanjay Madria",
	address = "Aix en Provence France",
	booktitle = "4th International Conference on Data Warehousing and Knowledge Discovery",
	institution = "CERIAS",
	publisher = "Springer-Verlag",
	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.",
	affiliation = "computer science department",
}