The Dynamic Role Mining Problem: Role Mining in Dynamically Changing Business Environments

Simon Anderer, Tobias Kempter, Bernd Scheuermann, Sanaz Mostaghim

2021

Abstract

Role Based Access Control is one of the most frequently used concepts for authorization management in today’s business landscapes. The corresponding optimization problem, the so-called Role Mining Problem (RMP), which was shown to be NP-complete, relies in finding a minimal set of roles and a corresponding assignment of those roles to users based on a static user permission assignment. However, as job duties, positions and responsibilities of users in companies constantly change, the corresponding user permission assignment is also subject to changes. Thus, the RMP in its present form has to be extended by dynamically occurring events, representing the changes in business environments. This paper defines the Dynamic Role Mining Problem (DynRMP) and presents the most relevant events from business perspective as well as their algorithmic implications for the RMP. Furthermore, several methods to include those events into the framework of an evolutionary algorithm, which is a suitable solution strategy for the RMP, are presented and evaluated in a range of experiments.

Paper Citation

in Harvard Style

Anderer S., Kempter T., Scheuermann B. and Mostaghim S. (2021). The Dynamic Role Mining Problem: Role Mining in Dynamically Changing Business Environments. In Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - Volume 1: IJCCI; ISBN 978-989-758-534-0, SciTePress, pages 37-48. DOI: 10.5220/0010654000003063

in Bibtex Style

@conference{ijcci21,
author={Simon Anderer and Tobias Kempter and Bernd Scheuermann and Sanaz Mostaghim},
title={The Dynamic Role Mining Problem: Role Mining in Dynamically Changing Business Environments},
booktitle={Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - Volume 1: IJCCI},
year={2021},
pages={37-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010654000003063},
isbn={978-989-758-534-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - Volume 1: IJCCI
TI - The Dynamic Role Mining Problem: Role Mining in Dynamically Changing Business Environments
SN - 978-989-758-534-0
AU - Anderer S.
AU - Kempter T.
AU - Scheuermann B.
AU - Mostaghim S.
PY - 2021
SP - 37
EP - 48
DO - 10.5220/0010654000003063
PB - SciTePress