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Evaluating role mining algorithms

Authors:

Jorge LoboAuthors Info & Claims

SACMAT '09: Proceedings of the 14th ACM symposium on Access control models and technologies

Pages 95 - 104

https://doi.org/10.1145/1542207.1542224

Published: 03 June 2009 Publication History

Abstract

While many role mining algorithms have been proposed in recent years, there lacks a comprehensive study to compare these algorithms. These role mining algorithms have been evaluated when they were proposed, but the evaluations were using different datasets and evaluation criteria. In this paper, we introduce a comprehensive framework for evaluating role mining algorithms. We categorize role mining algorithms into two classes based on their outputs; Class 1 algorithms output a sequence of prioritized roles while Class 2 algorithms output complete RBAC states. We then develop techniques that enable us to compare these algorithms directly. We also introduce a new role mining algorithm and two new ways for algorithmically generating datasets for evaluation. Using synthetic as well as real datasets, we compared nine role mining algorithms. Our results illustrate the strengths and weaknesses of these algorithms.

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Cited By

Crampton JEiben EGutin GKarapetyan DMajumdar D(2024)Bi-objective Optimization in Role MiningACM Transactions on Privacy and Security10.1145/369783328:1(1-22)Online publication date: 14-Oct-2024
https://dl.acm.org/doi/10.1145/3697833
Anderer SScheuermann BMostaghim S(2024)Studies on Multi-objective Role Mining in ERP SystemsEvolutionary Computation in Combinatorial Optimization10.1007/978-3-031-57712-3_6(81-96)Online publication date: 2024
https://doi.org/10.1007/978-3-031-57712-3_6
Anderer SKempter TScheuermann BMostaghim S(2023)Dynamic Optimization of Role Concepts for Role-Based Access Control Using Evolutionary AlgorithmsSN Computer Science10.1007/s42979-023-01805-14:4Online publication date: 24-May-2023
https://dl.acm.org/doi/10.1007/s42979-023-01805-1
Show More Cited By

Index Terms

Evaluating role mining algorithms
1. Information systems
  1. Information systems applications
    1. Data mining
2. Security and privacy
  1. Security services
    1. Access control
  2. Systems security
    1. Operating systems security

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Published In

cover image ACM Conferences

SACMAT '09: Proceedings of the 14th ACM symposium on Access control models and technologies

June 2009

258 pages

ISBN:9781605585376

DOI:10.1145/1542207

General Chair:
Barbara Carminati
University of Insubria, Italy
,
Program Chair:
James Joshi
University of Pittsburgh, USA

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 June 2009

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SACMAT '09

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SACMAT '09: 14th ACM Symposium on Access Control Models and Technologies

June 3 - 5, 2009

Stresa, Italy

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SACMAT '09 Paper Acceptance Rate 24 of 75 submissions, 32%;

Overall Acceptance Rate 177 of 597 submissions, 30%

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Cited By

Crampton JEiben EGutin GKarapetyan DMajumdar D(2024)Bi-objective Optimization in Role MiningACM Transactions on Privacy and Security10.1145/369783328:1(1-22)Online publication date: 14-Oct-2024
https://dl.acm.org/doi/10.1145/3697833
Anderer SScheuermann BMostaghim S(2024)Studies on Multi-objective Role Mining in ERP SystemsEvolutionary Computation in Combinatorial Optimization10.1007/978-3-031-57712-3_6(81-96)Online publication date: 2024
https://doi.org/10.1007/978-3-031-57712-3_6
Anderer SKempter TScheuermann BMostaghim S(2023)Dynamic Optimization of Role Concepts for Role-Based Access Control Using Evolutionary AlgorithmsSN Computer Science10.1007/s42979-023-01805-14:4Online publication date: 24-May-2023
https://dl.acm.org/doi/10.1007/s42979-023-01805-1
Anderer SScheuermann BMostaghim S(2023)Evolutionary Optimization of Roles for Access Control in Enterprise Resource Planning SystemsComputational Intelligence10.1007/978-3-031-46221-4_1(1-23)Online publication date: 3-Nov-2023
https://doi.org/10.1007/978-3-031-46221-4_1
Marette TMiettinen PNeumann S(2023)Visualizing Overlapping Biclusterings and Boolean Matrix FactorizationsMachine Learning and Knowledge Discovery in Databases: Research Track10.1007/978-3-031-43412-9_44(743-758)Online publication date: 17-Sep-2023
https://doi.org/10.1007/978-3-031-43412-9_44
Liu YLi YLin SArtho CRyu SSmaragdakis Y(2022)Finding permission bugs in smart contracts with role miningProceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis10.1145/3533767.3534372(716-727)Online publication date: 18-Jul-2022
https://dl.acm.org/doi/10.1145/3533767.3534372
Parkinson SKhan S(2022)A Survey on Empirical Security Analysis of Access-control Systems: A Real-world PerspectiveACM Computing Surveys10.1145/353370355:6(1-28)Online publication date: 7-Dec-2022
https://dl.acm.org/doi/10.1145/3533703
Guo QTripunitara MDietrich SChowdhury OTakabi D(2022)The Secrecy Resilience of Access Control Policies and Its Application to Role MiningProceedings of the 27th ACM on Symposium on Access Control Models and Technologies10.1145/3532105.3535030(115-126)Online publication date: 7-Jun-2022
https://dl.acm.org/doi/10.1145/3532105.3535030
Drakopoulos GMylonas P(2022)A Genetic Algorithm For Boolean Semiring Matrix Factorization With Applications To Graph Mining2022 IEEE International Conference on Big Data (Big Data)10.1109/BigData55660.2022.10020828(3864-3870)Online publication date: 17-Dec-2022
https://doi.org/10.1109/BigData55660.2022.10020828
Blundo CCimato SSiniscalchi L(2022)Heuristics for constrained role mining in the post-processing frameworkJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-021-03648-114:8(9925-9937)Online publication date: 25-Jan-2022
https://doi.org/10.1007/s12652-021-03648-1
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