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Future Internet 2015, 7(3), 225-256; doi:10.3390/fi7030225

EDAS: An Evaluation Prototype for Autonomic Event-Driven Adaptive Security in the Internet of Things

Norwegian Information Security Laboratory (NISLab), Gjøvik University College, 2815 Gjøvik, Norway
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Author to whom correspondence should be addressed.
Academic Editor: Steven Furnell
Received: 11 March 2015 / Revised: 12 June 2015 / Accepted: 23 June 2015 / Published: 8 July 2015
(This article belongs to the Special Issue Internet Security)

Abstract

In Internet of Things (IoT), the main driving technologies are considered to be tiny sensory objects. These objects cannot host traditional preventive and detective technologies to provide protection against the increasing threat sophistication. Furthermore, these solutions are limited to analyzing particular contextual information, for instance network information or files, and do not provide holistic context for risk analysis and response. Analyzing a part of a situation may lead to false alarms and later to unnecessary and incorrect configurations. To overcome these concerns, we proposed an event-driven adaptive security (EDAS) model for IoT. EDAS aims to observe security events (changes) generated by various things in the monitored IoT environment, investigates any intentional or unintentional risks associated with the events and adapts to it autonomously. It correlates different events in time and space to reduce any false alarms and provides a mechanism to predict attacks before they are realized. Risks are responded to autonomically by utilizing a runtime adaptation ontology. The mitigation action is chosen after assessing essential information, such as the risk faced, user preferences, device capabilities and service requirements. Thus, it selects an optimal mitigation action in a particular adverse situation. The objective of this paper is to investigate EDAS feasibility and its aptitude as a real-world prototype in a remote patient monitoring context. It details how EDAS can be a practical choice for IoT-eHealth in terms of the security, design and implementation features it offers as compared to traditional security controls. We have explained the prototype’s major components and have highlighted the key technical challenges. View Full-Text
Keywords: Internet of Things; adaptive security; eHealth; event-driven architecture; risk management; event correlation Internet of Things; adaptive security; eHealth; event-driven architecture; risk management; event correlation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Aman, W.; Snekkenes, E. EDAS: An Evaluation Prototype for Autonomic Event-Driven Adaptive Security in the Internet of Things. Future Internet 2015, 7, 225-256.

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