Intelligent Fuzzing and Vulnerability Detection for Automotive Ethernet and Diagnostic Protocols Introduction Thesis work is an excellent way to get closer to Scania and build relationships for the future. Many of today's employees began their Scania career with their degree project. Background Modern vehicle architectures increasingly depend on Ethernet-based communication protocols such as SOME/IP and DoIP, alongside UDS diagnostic services. Malformed packets and unexpected protocol sequences can expose implementation vulnerabilities. Objective Design and evaluate a protocol-aware fuzzing framework for automotive communication. Research objectives The thesis worker will: Design a protocol-aware fuzzing framework for automotive communication. Develop mutation strategies for DoIP, SOME/IP, and selected UDS services. Investigate stateful fuzzing of diagnostic authentication and session transitions. Monitor ECU behavior for crashes, timeouts, unexpected responses, and resource exhaustion. Compare protocol-aware fuzzing with conventional random fuzzing. Develop an automated fuzzing framework, protocol-specific test harnesses, reproducible findings, and a comparative evaluation of coverage, unique failures, and execution efficiency. Education/program/focusIndicate education, program or focus: Software development Number of students: 1Start date for the thesis work: 2027-01-11Estimated time required:
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