Paper Title
ARTIFICIAL INTELLIGENCE IN AUTOMATED DRIVING: AN ANALYSIS OF SAFETY AND CYBERSECURITY CHALLENGES
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Keywords
Keywords:- Artificial Intelligence, Automated Driving, Cybersecurity, Machine Learning Algorithms, Threat Modeling, Cyber Attacks, Ethical Concerns.
Abstract
Abstract :- This paper provides an analysis of the safety and cybersecurity challenges associated with the implementation of artificial intelligence (AI) in automated driving. As automated driving systems become more advanced and prevalent, the use of AI has become increasingly important for their operation. However, the use of AI also introduces new safety and cybersecurity challenges that need to be addressed. The paper examines the risks associated with the use of AI in automated driving systems, such as system malfunctions, cyber attacks, and ethical concerns. It also discusses current approaches and technologies that can be used to mitigate these risks, including machine learning algorithms, threat modeling, and secure software development practices. The paper concludes that while the use of AI in automated driving has the potential to improve safety and efficiency, addressing the associated safety and cybersecurity challenges is critical to ensuring the safe and reliable operation of these systems.
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How To Cite (APA)
Muhammed Rizwan, Aditye S. Nair, Sachumon K S, Adithyan KB, & Akash Manoj (March-2023). ARTIFICIAL INTELLIGENCE IN AUTOMATED DRIVING: AN ANALYSIS OF SAFETY AND CYBERSECURITY CHALLENGES. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(3), e194-e199. https://ijnrd.org/papers/IJNRD2303424.pdf
Issue
Volume 8 Issue 3, March-2023
Pages : e194-e199
Other Publication Details
Paper Reg. ID: IJNRD_189547
Published Paper Id: IJNRD2303424
Downloads: 000121998
Research Area: Science & Technology
Author Type: Indian Author
Country: Kottayam, Kerala, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2303424.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303424
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