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case-studies
AI Solution for Cybersecurity in Connected Vehicles
Approach and methodology
We developed an AI-driven security system using machine learning to monitor and protect connected vehicle communications. The solution analyzes data traffic, detects anomalies, implements encryption, and integrates with OTA updates, ensuring continuous protection against cyber threats in automotive systems.
Staff involved in the project
4
Specialists
Execution time
6
Months
Technologies used
- Apache Kafka
- Elasticsearch
- gRPC
- ONNX
- Scikit-learn
- Snort
3
sec
Average time to detect an attack
24
h
Average policy update time