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Vehicle Sec

Modern automobile systems are integrated with advanced communication and computational capabilities, and as a result, they come with many advanced features. However, these advancements render the automobile systems more prone to cyber-attacks. This project focuses on developing unsupervised learning technique on edge device (ECU) to detect and prevent attacks by monitoring the CAN bus traffic data in a car.

Researchers:

Ashhar Zaman, Pruthvish Rajput

Technologies:

Unsupervised Learning, Clustering, Anomaly Detection, Markov Chain Models

Data:

Telematics Data

Funded By:

Tata Elxsi Ltd.