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Stuttgart: Master Thesis Analysis and Benchmarking of Cryptographic Algorithms on Resource-Constrained Control Units

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Stellenbeschreibung

Abschlussarbeit
Homeoffice: Nach Absprache

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbHis looking forward to your application!

Job Description

This thesis investigates the feasibility, performance, and trade-offs of implementing cryptographic algorithms on resource-constrained embedded platforms, specifically 16-bit microcontrollers such as the RL78F14 and RL78F24. The research compares software, hardware, and post-quantum approaches and addresses the growing need for secure communication in automotive and industrial systems under strict hardware limitations, while aligning with current cybersecurity standards.

  • During your thesis you will aim to answer critical questions regarding algorithm selection, performance bottlenecks, and integration strategies for secure communication in embedded systems. Your findings will provide actionable recommendations for developers and system architects, balancing security requirements with hardware limitations. Additionally, the work aligns with emerging standards like ISO 21434, ensuring relevance for automotive cybersecurity.
  • In relation to the Software-Based Cryptographic Algorithms you will develop a comprehensive benchmarking framework to evaluate the performance of widely used cryptographic primitives (e.g., AES, SHA, ECC) implemented in software. The study will include proprietary libraries such as cycurlib-4.x and open-source alternatives like MbedTLS and tinyscrypt. You will analyze various compiler settings and optimization levels to understand their impact on execution time, memory footprint, and energy consumption.
  • Regarding Hardware-Assisted Cryptography, you will integrate an external Hardware Security Module (HSM) with the RL78F24 evaluation board via standard communication interfaces (I²C/SPI) to explore hardware acceleration. You will compare the performance of hardware-supported algorithms against software implementations using the same benchmarking framework. This section highlights trade-offs between security, latency, and resource utilization when offloading cryptographic operations to dedicated hardware.
  • In connection with Post-Quantum Cryptography (PQC) as third major component of your work you will investigate the feasibility of implementing post-quantum algorithms on low-performance microcontrollers considering that traditional cryptographic schemes face potential vulnerabilities with the advent of quantum computing. Libraries such as PQClean are ported to the RL78F24 platform, and you will evaluate their performance to determine practicality in constrained environments.

Qualifications

  • Education: Master studies in the field of Electrical Engineering, Computer Science, Software Engineering or comparable
  • Experience and Knowledge: practical experience with security functions, security libs and 16 bits microcontrollers; knowledge of C programming language
  • Personality and Working Practice: you exhibit analytical and critical thinking, a problem-solving mindset, responsibility, self-discipline, and strong communication for team collaboration, always maintaining project oversight
  • Languages: fluent in English

Additional Information

Start: according to prior agreement
Duration: 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Aschraf Tobail (Functional Department)
+49 172 1733946 

#LI-DNI

Work #LikeABosch starts here: Apply now!

Summary

  • Type: Full-time
  • Function: Information Technology
Anstellungsart
Abschlussarbeit
Homeoffice
Nach Absprache
Standort
70178 Stuttgart

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