An SDR-Based Cybersecurity Verification Framework for Smart Agricultural Machines
The agricultural sector increasingly makes use of automated and/or remotely-controlled machines to improve performance and reduce costs. These machines, called Smart Agricultural Machines (SAMs), integrate different information and communication technologies for monitoring and control purposes and c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10141605/ |
| _version_ | 1797805942108061696 |
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| author | Roberto Caviglia Giovanni Gaggero Giancarlo Portomauro Fabio Patrone Mario Marchese |
| author_facet | Roberto Caviglia Giovanni Gaggero Giancarlo Portomauro Fabio Patrone Mario Marchese |
| author_sort | Roberto Caviglia |
| collection | DOAJ |
| description | The agricultural sector increasingly makes use of automated and/or remotely-controlled machines to improve performance and reduce costs. These machines, called Smart Agricultural Machines (SAMs), integrate different information and communication technologies for monitoring and control purposes and can be remotely controlled by using proprietary protocols. This makes it difficult to assess the vulnerabilities of the system, in particular for non-proprietary-parties. SAMs are cyber-physical systems often employing private protocols and can be objects of attacks. In this context the paper proposes a framework, based on Software Defined Radio (SDR) technology, for cybersecurity verification of SAMs, in order to fill the gap in the state of the art since no technical standard specifically addresses cybersecurity in this environment; the paper describes the testbed developed and exploited to show the effectiveness in detecting vulnerabilities and assessing the SAM security, in particular focusing on the wireless communication channels, and reports the obtained results. |
| first_indexed | 2024-03-13T05:59:49Z |
| format | Article |
| id | doaj.art-2108599841124580bf9cc052da1410eb |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-13T05:59:49Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2108599841124580bf9cc052da1410eb2023-06-12T23:01:25ZengIEEEIEEE Access2169-35362023-01-0111542105422010.1109/ACCESS.2023.328216910141605An SDR-Based Cybersecurity Verification Framework for Smart Agricultural MachinesRoberto Caviglia0https://orcid.org/0000-0003-1483-7242Giovanni Gaggero1https://orcid.org/0000-0001-6404-2451Giancarlo Portomauro2Fabio Patrone3https://orcid.org/0000-0002-0983-9131Mario Marchese4https://orcid.org/0000-0002-9626-3483Department of Electrical, Electronics and Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, ItalyDepartment of Electrical, Electronics and Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, ItalyDepartment of Electrical, Electronics and Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, ItalyDepartment of Electrical, Electronics and Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, ItalyDepartment of Electrical, Electronics and Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, ItalyThe agricultural sector increasingly makes use of automated and/or remotely-controlled machines to improve performance and reduce costs. These machines, called Smart Agricultural Machines (SAMs), integrate different information and communication technologies for monitoring and control purposes and can be remotely controlled by using proprietary protocols. This makes it difficult to assess the vulnerabilities of the system, in particular for non-proprietary-parties. SAMs are cyber-physical systems often employing private protocols and can be objects of attacks. In this context the paper proposes a framework, based on Software Defined Radio (SDR) technology, for cybersecurity verification of SAMs, in order to fill the gap in the state of the art since no technical standard specifically addresses cybersecurity in this environment; the paper describes the testbed developed and exploited to show the effectiveness in detecting vulnerabilities and assessing the SAM security, in particular focusing on the wireless communication channels, and reports the obtained results.https://ieeexplore.ieee.org/document/10141605/Smart agricultureautonomous machinescybersecuritysoftware defined radio (SDR)wireless communicationspenetration test |
| spellingShingle | Roberto Caviglia Giovanni Gaggero Giancarlo Portomauro Fabio Patrone Mario Marchese An SDR-Based Cybersecurity Verification Framework for Smart Agricultural Machines IEEE Access Smart agriculture autonomous machines cybersecurity software defined radio (SDR) wireless communications penetration test |
| title | An SDR-Based Cybersecurity Verification Framework for Smart Agricultural Machines |
| title_full | An SDR-Based Cybersecurity Verification Framework for Smart Agricultural Machines |
| title_fullStr | An SDR-Based Cybersecurity Verification Framework for Smart Agricultural Machines |
| title_full_unstemmed | An SDR-Based Cybersecurity Verification Framework for Smart Agricultural Machines |
| title_short | An SDR-Based Cybersecurity Verification Framework for Smart Agricultural Machines |
| title_sort | sdr based cybersecurity verification framework for smart agricultural machines |
| topic | Smart agriculture autonomous machines cybersecurity software defined radio (SDR) wireless communications penetration test |
| url | https://ieeexplore.ieee.org/document/10141605/ |
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