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Proactive AI-Enhanced Cybersecurity for Next-Gen Automotive Infotainment ECU Tata Motors, Limited

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
More, Shweta, author.
Contributor:
Ghanwat, Hemant
Joshi, Vivek
Kulkarni, Shraddha
Kumar, Priyanshu
Conference Name:
Symposium on International Automotive Technology (2026) (2026-01-28 : Pune, India)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2026
Summary:
With the rapid advancement of connected vehicle technologies, infotainment Electronic Control Units (ECUs) have become central to user interaction and connectivity within modern vehicles. However, this enhanced functionality has introduced new vulnerabilities to cyberattacks. This paper explores the application of Artificial Intelligence (AI) in enhancing the cybersecurity framework of infotainment ECUs. The study introduces AI-powered modules for threat detection and response, presents an integrated architecture, and validates performance through simulation using MATLAB, CANoe, and NS-3. This approach addresses real-time intrusion detection, anomaly analysis, and voice command security.Key benefits include zero-day exploit resistance, scalability, and continuous protection via OTA updates. The paper references real-world automotive cyberattack cases such as OTA vulnerability patches, Connected Drive exploits, and Uconnect hack, emphasizing the critical need for AI-enabled proactive cybersecurity frameworks
Notes:
Vendor supplied data
Publisher Number:
2026-26-0619
Access Restriction:
Restricted for use by site license

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