Access Controlled Temporal Networks

Carlo Combi, Roberto Posenato, Luca Viganò, Matteo Zavatteri

2017

Abstract

We define Access-Controlled Temporal Networks (ACTNs) as an extension of Conditional Simple Temporal Networks with Uncertainty (CSTNUs). CSTNUs are able to handle features such as contingent durations and conditional constraints, and have thus been used to model the temporal constraints of workflows underlying business processes. However, CSTNUs are unable to model users and authorization constraints, and thus cannot model “who can do what, when”. ACTNs solve this problem by adding users and authorization constraints that must be considered together with temporal constraints. Dynamic controllability (DC) of ACTNs ensures the existence of an execution strategy, able to assign tasks to authorized users dynamically, satisfying all the relevant authorization constraints no matter what contingent durations turn out to be or what conditional constraints have to be considered. We show that the DC checking can be done via Timed Game Automata and provide experimental results using UPPAAL-TIGA on a concrete real-world case study.

References

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Paper Citation


in Harvard Style

Combi C., Posenato R., Viganò L. and Zavatteri M. (2017). Access Controlled Temporal Networks . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 118-131. DOI: 10.5220/0006185701180131


in Bibtex Style

@conference{icaart17,
author={Carlo Combi and Roberto Posenato and Luca Viganò and Matteo Zavatteri},
title={Access Controlled Temporal Networks},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={118-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006185701180131},
isbn={978-989-758-220-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Access Controlled Temporal Networks
SN - 978-989-758-220-2
AU - Combi C.
AU - Posenato R.
AU - Viganò L.
AU - Zavatteri M.
PY - 2017
SP - 118
EP - 131
DO - 10.5220/0006185701180131