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Cyber and Physical Security Vulnerability Assessment for IoT-Based Smart Homes
Luleå University of Technology.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Faculty of Engineering, Al Azhar University.ORCID iD: 0000-0002-3800-0757
2018 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 18, no 3, article id 817Article in journal (Refereed) Published
Abstract [en]

 The Internet of Things (IoT) is an emerging paradigm focusing on the connection of devices, objects, or “things” to each other, to the Internet, and to users. IoT technology is anticipated to become an essential requirement in the development of smart homes, as it offers convenience and efficiency to home residents so that they can achieve better quality of life. Application of the IoT model to smart homes, by connecting objects to the Internet, poses new security and privacy challenges in terms of the confidentiality, authenticity, and integrity of the data sensed, collected, and exchanged by the IoT objects. These challenges make smart homes extremely vulnerable to different types of security attacks, resulting in IoT-based smart homes being insecure. Therefore, it is necessary to identify the possible security risks to develop a complete picture of the security status of smart homes. This article applies the operationally critical threat, asset, and vulnerability evaluation (OCTAVE) methodology, known as OCTAVE Allegro, to assess the security risks of smart homes. The OCTAVE Allegro method focuses on information assets and considers different information containers such as databases, physical papers, and humans. The key goals of this study are to highlight the various security vulnerabilities of IoT-based smart homes, to present the risks on home inhabitants, and to propose approaches to mitigating the identified risks. The research findings can be used as a foundation for improving the security requirements of IoT-based smart homes.

Place, publisher, year, edition, pages
MDPI AG , 2018. Vol. 18, no 3, article id 817
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-67897DOI: 10.3390/s18030817ISI: 000428805300138PubMedID: 29518023Scopus ID: 2-s2.0-85043574894OAI: oai:DiVA.org:ltu-67897DiVA, id: diva2:1189015
Note

Validerad;2018;Nivå 2;2018-03-09 (andbra)

Available from: 2018-03-09 Created: 2018-03-09 Last updated: 2018-06-28Bibliographically approved

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CiteExportLink to record
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