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insikt - Automotive Cybersecurity
A Configurable and Practical Remote Platform for Comprehensive Automotive Security Testing
This paper proposes a flexible and configurable testing platform that enables easier access to test beds for efficient vehicle cybersecurity testing, including penetration testing, fuzz testing, and advanced security research.
MKF-ADS: Anomaly Detection System for Automotive Cybersecurity
The author proposes a novel multi-knowledge fused anomaly detection model, MKF-ADS, to address cybersecurity challenges in automotive networks by integrating spatial-temporal correlation and context features. The approach aims to enhance detection performance while maintaining efficiency.
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