تقرير
Can social media shape the security of next-generation connected vehicles?
| العنوان: | Can social media shape the security of next-generation connected vehicles? |
|---|---|
| المؤلفون: | Scarano, Nicola, Mannella, Luca, Savino, Alessandro, Di Carlo, Stefano |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Social and Information Networks |
| الوصف: | 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. Comment: Position paper, four pages, two images |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2407.07599 |
| رقم الأكسشن: | edsarx.2407.07599 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |