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Master Thesis - Intelligent Fuzzing and Vulnerability Detection for Automotive Ethernet and Diagnost
Scania
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Source date: 11/5/2026
About this role
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/focus Indicate education, program or focus: Software development Number of students: 1 Start date for the thesis work: 2027-01-11 Estimated time required: <6 months Contact persons and supervisors Adela Åberg, Unit Head, adela.aberg@scania.com, Mostafa Imam, Master Thesis supervisor mostafa.imam@scania.com Application: Your application must include a CV, personal letter and transcript of grades A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified. Publication date from - to 2026-11-05-2026-11-20