Imperial College London
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ProfessorAlessandraRusso

Faculty of Engineering, Department of Computing

Professor in Applied Computational Logic
 
 
 
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Contact

 

+44 (0)20 7594 8312a.russo Website

 
 
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Location

 

560Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Abu:2020:10.1007/978-3-030-58951-6_26,
author = {Abu, Jabal A and Bertino, E and Lobo, J and Law, M and Russo, A and Calo, S and Verma, D},
doi = {10.1007/978-3-030-58951-6_26},
pages = {523--544},
publisher = {Springer International Publishing},
title = {Polisma - a framework for learning attribute-based access control policies},
url = {http://dx.doi.org/10.1007/978-3-030-58951-6_26},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Attribute-based access control (ABAC) is being widely adopted due to its flexibility and universality in capturing authorizations in terms of the properties (attributes) of users and resources. However, specifying ABAC policies is a complex task due to the variety of such attributes. Moreover, migrating an access control system adopting a low-level model to ABAC can be challenging. An approach for generating ABAC policies is to learn them from data, namely from logs of historical access requests and their corresponding decisions. This paper proposes a novel framework for learning ABAC policies from data. The framework, referred to as Polisma, combines data mining, statistical, and machine learning techniques, capitalizing on potential context information obtained from external sources (e.g., LDAP directories) to enhance the learning process. The approach is evaluated empirically using two datasets (real and synthetic). Experimental results show that Polisma is able to generate ABAC policies that accurately control access requests and outperforms existing approaches.
AU  - Abu,Jabal A
AU  - Bertino,E
AU  - Lobo,J
AU  - Law,M
AU  - Russo,A
AU  - Calo,S
AU  - Verma,D
DO  - 10.1007/978-3-030-58951-6_26
EP  - 544
PB  - Springer International Publishing
PY  - 2020///
SN  - 0302-9743
SP  - 523
TI  - Polisma - a framework for learning attribute-based access control policies
UR  - http://dx.doi.org/10.1007/978-3-030-58951-6_26
UR  - https://link.springer.com/chapter/10.1007%2F978-3-030-58951-6_26
ER  -
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