Can social media shape the security of next-generation connected vehicles?
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866910237318971392 |
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| author | Scarano, Nicola Mannella, Luca Savino, Alessandro Di Carlo, Stefano |
| author_facet | Scarano, Nicola Mannella, Luca Savino, Alessandro Di Carlo, Stefano |
| contents | The increasing adoption of connectivity and electronic components in vehicles makes these systems valuable targets for attackers. While automotive vendors prioritize safety, there remains a critical need for comprehensive assessment and analysis of cyber risks. In this context, this paper proposes a Social Media Automotive Threat Intelligence (SOCMATI) framework, specifically designed for the emerging field of automotive cybersecurity. The framework leverages advanced intelligence techniques and machine learning models to extract valuable insights from social media. Four use cases illustrate the framework's potential by demonstrating how it can significantly enhance threat assessment procedures within the automotive industry. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_07599 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Can social media shape the security of next-generation connected vehicles? Scarano, Nicola Mannella, Luca Savino, Alessandro Di Carlo, Stefano Social and Information Networks The increasing adoption of connectivity and electronic components in vehicles makes these systems valuable targets for attackers. While automotive vendors prioritize safety, there remains a critical need for comprehensive assessment and analysis of cyber risks. In this context, this paper proposes a Social Media Automotive Threat Intelligence (SOCMATI) framework, specifically designed for the emerging field of automotive cybersecurity. The framework leverages advanced intelligence techniques and machine learning models to extract valuable insights from social media. Four use cases illustrate the framework's potential by demonstrating how it can significantly enhance threat assessment procedures within the automotive industry. |
| title | Can social media shape the security of next-generation connected vehicles? |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2407.07599 |