research-article

A framework for automating security analysis of the internet of things

Authors:

Walter Guttmann,

Dong Seong KimAuthors Info & Claims

Journal of Network and Computer Applications, Volume 83, Issue C

Pages 12 - 27

https://doi.org/10.1016/j.jnca.2017.01.033

Published: 01 April 2017 Publication History

Abstract

The Internet of Things (IoT) is enabling innovative applications in various domains. Due to its heterogeneous and wide-scale structure, it introduces many new security issues. To address this problem, we propose a framework for modeling and assessing the security of the IoT and provide a formal definition of the framework. Generally, the framework consists of five phases: (1) data processing, (2) security model generation, (3) security visualization, (4) security analysis, and (5) model updates. Using the framework, we can find potential attack scenarios in the IoT, analyze the security of the IoT through well-defined security metrics, and assess the effectiveness of different defense strategies. The framework is evaluated via three scenarios, which are the smart home, wearable healthcare monitoring and environment monitoring scenarios. We use the analysis results to show the capabilities of the proposed framework for finding potential attack paths and mitigating the impact of attacks.

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cover image Journal of Network and Computer Applications

Journal of Network and Computer Applications Volume 83, Issue C

April 2017

221 pages

ISSN:1084-8045

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Copyright © Elsevier Ltd.

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Academic Press Ltd.

United Kingdom

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Published: 01 April 2017

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https://dl.acm.org/doi/10.1016/j.cose.2023.103534
Zenitani K(2023)A scalable algorithm for network reachability analysis with cyclic attack graphsJournal of Computer Security10.3233/JCS-21010331:1(29-55)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.3233/JCS-210103
Sardar AUmer SRout RWang STanveer M(2023)A Secure Face Recognition for IoT-enabled Healthcare SystemACM Transactions on Sensor Networks10.1145/353412219:3(1-23)Online publication date: 17-Apr-2023
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Zenitani K(2023)Attack graph analysisComputers and Security10.1016/j.cose.2022.103081126:COnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.cose.2022.103081
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