Policy Conflict Resolution in IoT via Planning

Emre Göynügür; Sara Bernardini; Geeth  de Mel; Kartik Talamadupula; Murat Şensoy

doi:10.1007/978-3-319-57351-9_22

Policy Conflict Resolution in IoT via Planning

Emre Göynügür, Sara Bernardini, Geeth de Mel, Kartik Talamadupula, Murat Şensoy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

With the explosion of connected devices to automate tasks, manually governing interactions among such devices—and associated services—has become an impossible task. This is because devices have their own obligations and prohibitions in context, and humans are not equipped to maintain a bird’s-eye-view of the environment. Motivated by this observation, in this paper, we present an ontology-based policy framework which can efficiently detect policy conflicts and automatically resolve such using an AI planner.

Original language	English
Title of host publication	Canadian Conference on Artificial Intelligence
Subtitle of host publication	AI 2017: Advances in Artificial Intelligence
Publisher	Springer
Pages	169-175
Number of pages	7
Volume	10233
ISBN (Electronic)	978-3-319-57351-9
ISBN (Print)	978-3-319-57350-2
DOIs	https://doi.org/10.1007/978-3-319-57351-9_22
Publication status	Published - 2017

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	10233
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Access to Document

10.1007/978-3-319-57351-9_22

Accepted ManuscriptAccepted author manuscript, 176 KB

Cite this

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title = "Policy Conflict Resolution in IoT via Planning",

abstract = "With the explosion of connected devices to automate tasks, manually governing interactions among such devices—and associated services—has become an impossible task. This is because devices have their own obligations and prohibitions in context, and humans are not equipped to maintain a bird{\textquoteright}s-eye-view of the environment. Motivated by this observation, in this paper, we present an ontology-based policy framework which can efficiently detect policy conflicts and automatically resolve such using an AI planner.",

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Policy Conflict Resolution in IoT via Planning. / Göynügür, Emre; Bernardini, Sara; de Mel, Geeth et al.
Canadian Conference on Artificial Intelligence: AI 2017: Advances in Artificial Intelligence. Vol. 10233 Springer, 2017. p. 169-175 (Lecture Notes in Computer Science; Vol. 10233).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Policy Conflict Resolution in IoT via Planning

AU - Göynügür, Emre

AU - Bernardini, Sara

AU - de Mel, Geeth

AU - Talamadupula, Kartik

AU - Şensoy, Murat

PY - 2017

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T3 - Lecture Notes in Computer Science

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