Dissecting the Vulnerabilities in Self-Driving Cars Integrated with Artificial Intelligence: A Comprehensive Analysis

سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 141

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شناسه ملی سند علمی:

ICRSIE09_320

تاریخ نمایه سازی: 12 اسفند 1403

چکیده مقاله:

Driverless cars represent a major industry trend that has the potential to revolutionize the automotive industry. Integrating artificial intelligence into driverless vehicles carries many security vulnerabilities and cybersecurity risks. This article details several drawbacks that autonomous vehicles may face, including hacking capabilities, privacy issues, sensor management, and decision-making algorithms. It highlights the impact of these vulnerabilities on passenger safety, regulatory compliance, and public confidence in autonomous vehicles. This study emphasizes the importance of cybersecurity measures, continuous threat assessment, and collaboration with the business to reduce the risks of using cars in transportation in the future and ensure operational security.

نویسندگان

Amirhossein Rahimian

Doctoral student of information technology management, Islamic Azad University, Hamedan branch, Hamedan, Iran