Detection of Vulnerabilities in Smart Buildings Using the Shodan Tool
Smart buildings, integral components of modern urban landscapes, are confronted with diverse vulnerabilities that jeopardize system robustness, cybersecurity, data confidentiality, and the well-being of the occupants. This work aimed to identify and evaluate vulnerabilities specific to smart buildin...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/23/4815 |
| _version_ | 1797400238707703808 |
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| author | Sofía Mulero-Palencia Victor Monzon Baeza |
| author_facet | Sofía Mulero-Palencia Victor Monzon Baeza |
| author_sort | Sofía Mulero-Palencia |
| collection | DOAJ |
| description | Smart buildings, integral components of modern urban landscapes, are confronted with diverse vulnerabilities that jeopardize system robustness, cybersecurity, data confidentiality, and the well-being of the occupants. This work aimed to identify and evaluate vulnerabilities specific to smart buildings, introducing an innovative assessment approach leveraging the Shodan tool. The analysis comprised three stages: information collection, result extraction using Shodan, and vulnerability identification, culminating in a comprehensive evaluation. This study pioneers the use of Shodan for smart building vulnerability detection, together with databases and associated nomenclature, to serve as a robust foundational tutorial for future research. The findings yielded a meticulous analysis of primary security risks inherent in building systems, advocating for implementing targeted measures to mitigate potential impacts. Additionally, this study proposes an evaluation methodology encompassing metrics to gauge the effect of vulnerabilities on integrity, availability, and scope. By addressing insecure configurations, deployment inadequacies, and suboptimal cybersecurity practices, this framework fortifies smart buildings against potential threats. This study’s originality lies in its Shodan-centric framework, revolutionizing the approach to smart building applications and vulnerability detection. This research contributes to the field by identifying critical vulnerabilities and proposing effective mitigation strategies, thereby elevating the overall security and safety of interconnected smart spaces. |
| first_indexed | 2024-03-09T01:52:42Z |
| format | Article |
| id | doaj.art-395d8f7da8d24b379470fe62a9d500f3 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T01:52:42Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-395d8f7da8d24b379470fe62a9d500f32023-12-08T15:14:07ZengMDPI AGElectronics2079-92922023-11-011223481510.3390/electronics12234815Detection of Vulnerabilities in Smart Buildings Using the Shodan ToolSofía Mulero-Palencia0Victor Monzon Baeza1CARTIF Technology Centre, Parque Tecnológico de Boecillo, 47151 Boecillo, Valladolid, SpainSigCom Group in SnT, University of Luxembourg, L-1855 Luxembourg, LuxembourgSmart buildings, integral components of modern urban landscapes, are confronted with diverse vulnerabilities that jeopardize system robustness, cybersecurity, data confidentiality, and the well-being of the occupants. This work aimed to identify and evaluate vulnerabilities specific to smart buildings, introducing an innovative assessment approach leveraging the Shodan tool. The analysis comprised three stages: information collection, result extraction using Shodan, and vulnerability identification, culminating in a comprehensive evaluation. This study pioneers the use of Shodan for smart building vulnerability detection, together with databases and associated nomenclature, to serve as a robust foundational tutorial for future research. The findings yielded a meticulous analysis of primary security risks inherent in building systems, advocating for implementing targeted measures to mitigate potential impacts. Additionally, this study proposes an evaluation methodology encompassing metrics to gauge the effect of vulnerabilities on integrity, availability, and scope. By addressing insecure configurations, deployment inadequacies, and suboptimal cybersecurity practices, this framework fortifies smart buildings against potential threats. This study’s originality lies in its Shodan-centric framework, revolutionizing the approach to smart building applications and vulnerability detection. This research contributes to the field by identifying critical vulnerabilities and proposing effective mitigation strategies, thereby elevating the overall security and safety of interconnected smart spaces.https://www.mdpi.com/2079-9292/12/23/4815smart buildingcybersecurityShodanvulnerabilitiessmart cities |
| spellingShingle | Sofía Mulero-Palencia Victor Monzon Baeza Detection of Vulnerabilities in Smart Buildings Using the Shodan Tool Electronics smart building cybersecurity Shodan vulnerabilities smart cities |
| title | Detection of Vulnerabilities in Smart Buildings Using the Shodan Tool |
| title_full | Detection of Vulnerabilities in Smart Buildings Using the Shodan Tool |
| title_fullStr | Detection of Vulnerabilities in Smart Buildings Using the Shodan Tool |
| title_full_unstemmed | Detection of Vulnerabilities in Smart Buildings Using the Shodan Tool |
| title_short | Detection of Vulnerabilities in Smart Buildings Using the Shodan Tool |
| title_sort | detection of vulnerabilities in smart buildings using the shodan tool |
| topic | smart building cybersecurity Shodan vulnerabilities smart cities |
| url | https://www.mdpi.com/2079-9292/12/23/4815 |
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