Adaptive Fuzz Testing for ECUs: A Modular Testing Platform Approach to Enhance Vulnerability Detection
Abstract This presentation introduces an adaptive fuzzing physical testing platform designed to identify vulnerabilities in automotive systems, with a particular focus on the Controller Area Network (CAN) bus. By employing “Automated Reverse Engineering Guided Fuzzing” (ARE – GF), our framework assesses the security resilience of CAN networks against complex attacks. The demonstration showcases a live … Read more