Using Abductive and Inductive Inference to Generate Policy Explanations

Fabio Marfia

2014

Abstract

Providing reliable explanations for the causes of an access response represents an important improvement of applications usability and effectiveness, in a context where users are permitted or denied access to resources. I present an approach composed by two different procedures, both relying on OWL-DL and SWRL Rules, in order to generate policy explanations. The first procedure makes use of OWL Explanation and abductive reasoning. The second uses an algorithm of Association Rule Learning to identifying attributes and states arising together with policy privileges, in an inductive way. The PosSecCo IT Policy language is used in the present paper for representing the policies, but the approach is general enough to be applied in other environments as well.

Paper Citation

in Harvard Style

Marfia F. (2014). Using Abductive and Inductive Inference to Generate Policy Explanations . In Proceedings of the 11th International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2014) ISBN 978-989-758-045-1, pages 457-462. DOI: 10.5220/0005116004570462

in Bibtex Style

@conference{secrypt14,
author={Fabio Marfia},
title={Using Abductive and Inductive Inference to Generate Policy Explanations},
booktitle={Proceedings of the 11th International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2014)},
year={2014},
pages={457-462},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005116004570462},
isbn={978-989-758-045-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2014)
TI - Using Abductive and Inductive Inference to Generate Policy Explanations
SN - 978-989-758-045-1
AU - Marfia F.
PY - 2014
SP - 457
EP - 462
DO - 10.5220/0005116004570462