@inproceedings{b616a9fdec0640408e1f41ed352599aa,
title = "Context-aware and Attribute-based Access Control Applying Proactive Computing to IoT System",
abstract = "ABAC allows for high flexibility in access control over a system through the definition of policies based on attribute values. In the context of an IoT-based system, these data can be supplied through its sensors connected to the real world, allowing for context-awareness. However, the ABAC model alone does not include proposals for implementing security policies based on verified and/or meaningful values rather than on raw data flowing from the sensors. Nor does it allow to implement immediate action on the system when some security flaw is detected, while this possibility technically exists if the system is equipped with actuators next to its sensors. We show how to circumvent these limitations by adding a proactive engine to the ABAC components, that runs rule-based scenarios devoted to sensor data pre-processing, to higher-level information storage in the PIP, and to real-time, automatic reaction on the system through its actuators when required.",
keywords = "ABAC, Access Control, Event Analysis, Internet of Things, Proactive Computing",
author = "No{\'e} Picard and Jean-No{\"e}l Colin and Denis Zampunieris",
note = "Publisher Copyright: Copyright {\textcopyright} 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; null ; Conference date: 19-03-2018 Through 21-03-2018",
year = "2018",
doi = "10.5220/0006815803330339",
language = "English",
volume = "2018-March",
series = "IoTBDS 2018 - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security",
pages = "333--339",
editor = "Munoz, {Victor Mendez} and Robert Walters and Farshad Firouzi and Gary Wills and Victor Chang",
booktitle = "Proceedings of the workshop on Security, Privacy, Big Data and Internet of Things SPBDIoT 2018",
}