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Analytical Modeling for Identification of the Machine Code Architecture of Cyberphysical Devices in Smart Homes
Ensuring the security of modern cyberphysical devices is the most important task of the modern world. The reason for this is that such devices can cause not only informational, but also physical damage. One of the approaches to solving the problem is the static analysis of the machine code of the fi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840385/ https://www.ncbi.nlm.nih.gov/pubmed/35161762 http://dx.doi.org/10.3390/s22031017 |
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author | Kotenko, Igor Izrailov, Konstantin Buinevich, Mikhail |
author_facet | Kotenko, Igor Izrailov, Konstantin Buinevich, Mikhail |
author_sort | Kotenko, Igor |
collection | PubMed |
description | Ensuring the security of modern cyberphysical devices is the most important task of the modern world. The reason for this is that such devices can cause not only informational, but also physical damage. One of the approaches to solving the problem is the static analysis of the machine code of the firmware of such devices. The situation becomes more complicated in the case of a Smart Home, since its devices can have different processor architectures (means instruction sets). In the case of cyberphysical devices of the Smart Home, the destruction of machine code due to physical influences is also possible. Therefore, the first step is to correctly identify the processor architecture. In the interests of this, a machine code model is proposed that has a formal notation and takes into account the possibility of code destruction. The article describes the full cycle of research (including experiment) in order to obtain this model. The model is based on byte-frequency machine code signatures. The experiment resulted in obtaining template signatures for the Top-16 processor architectures: Alpha, X32, Amd64, Arm64, Hppa64, I486, I686, Ia64, Mips, Mips64, Ppc, Ppc64, RiscV64, S390, S390x and Sparc64. |
format | Online Article Text |
id | pubmed-8840385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88403852022-02-13 Analytical Modeling for Identification of the Machine Code Architecture of Cyberphysical Devices in Smart Homes Kotenko, Igor Izrailov, Konstantin Buinevich, Mikhail Sensors (Basel) Article Ensuring the security of modern cyberphysical devices is the most important task of the modern world. The reason for this is that such devices can cause not only informational, but also physical damage. One of the approaches to solving the problem is the static analysis of the machine code of the firmware of such devices. The situation becomes more complicated in the case of a Smart Home, since its devices can have different processor architectures (means instruction sets). In the case of cyberphysical devices of the Smart Home, the destruction of machine code due to physical influences is also possible. Therefore, the first step is to correctly identify the processor architecture. In the interests of this, a machine code model is proposed that has a formal notation and takes into account the possibility of code destruction. The article describes the full cycle of research (including experiment) in order to obtain this model. The model is based on byte-frequency machine code signatures. The experiment resulted in obtaining template signatures for the Top-16 processor architectures: Alpha, X32, Amd64, Arm64, Hppa64, I486, I686, Ia64, Mips, Mips64, Ppc, Ppc64, RiscV64, S390, S390x and Sparc64. MDPI 2022-01-28 /pmc/articles/PMC8840385/ /pubmed/35161762 http://dx.doi.org/10.3390/s22031017 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kotenko, Igor Izrailov, Konstantin Buinevich, Mikhail Analytical Modeling for Identification of the Machine Code Architecture of Cyberphysical Devices in Smart Homes |
title | Analytical Modeling for Identification of the Machine Code Architecture of Cyberphysical Devices in Smart Homes |
title_full | Analytical Modeling for Identification of the Machine Code Architecture of Cyberphysical Devices in Smart Homes |
title_fullStr | Analytical Modeling for Identification of the Machine Code Architecture of Cyberphysical Devices in Smart Homes |
title_full_unstemmed | Analytical Modeling for Identification of the Machine Code Architecture of Cyberphysical Devices in Smart Homes |
title_short | Analytical Modeling for Identification of the Machine Code Architecture of Cyberphysical Devices in Smart Homes |
title_sort | analytical modeling for identification of the machine code architecture of cyberphysical devices in smart homes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840385/ https://www.ncbi.nlm.nih.gov/pubmed/35161762 http://dx.doi.org/10.3390/s22031017 |
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