Theses
Unlock Your Potential with Cutting-Edge Research Opportunities
At the Secure Mobile Networking working group, we are at the forefront of innovation, tackling some of the most pressing challenges in mobile network security. Our research is not just about understanding the present—it’s about shaping the future. We invite ambitious and creative students to join us in pushing the boundaries of what’s possible. Below, you'll find a selection of compelling thesis topics that are designed to ignite your curiosity, challenge your thinking, and make a real impact on the world.
RADAR from Inside:
Advanced Tamper Detection for Critical Infrastructures
As critical infrastructures become more reliant on complex electronic systems, the importance of tamper detection has never been greater. This research area focuses on the use of electromagnetic waves to detect unauthorized interference with electronic devices, ensuring that vital systems remain secure. By investigating advanced signal processing techniques and developing novel detection algorithms, we aim to create highly sensitive tamper detection systems that can protect against cyber-physical threats. The implications of this research extend to a wide range of applications, from safeguarding national security assets to protecting the integrity of financial and healthcare systems, making it a cornerstone of modern security practices.
Security of Neural Implants (Brain-Computer Interfaces): Protecting the Frontier of Human Machine Integration
Neural implants and brain-computer interfaces (BCIs) represent the cutting edge of human-machine integration, but they also introduce new and complex security challenges. In this research area, we delve into the critical issues surrounding the protection of these sensitive devices from potential cyber threats. As these technologies become more widespread in medical and consumer applications, ensuring their security is paramount to preventing unauthorized access to neural data and preserving the safety and well-being of users. This research is not just about protecting data; it’s about safeguarding the very essence of human thought and interaction, making it one of the most ethically and technically demanding fields in cybersecurity today.
S. López Bernal et al.: Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling
Radiofrequency Machine Learning:
Transforming Wireless Security with AI
The convergence of machine learning and radiofrequency analysis offers unprecedented opportunities to revolutionize wireless security. In this research area, we explore how AI can be applied to analyze wireless signals, detect anomalies, and predict security breaches with a level of precision previously unattainable. By developing models that can learn from vast amounts of data, we aim to create intelligent systems capable of real-time threat detection and response. This research has the potential to significantly enhance the resilience of wireless networks, making them more adaptive to emerging threats and better equipped to protect sensitive communications in an increasingly connected world.
R. Song et al.: RF-URL: Unsupervised Representation Learning for RF Sensing
LoRaWAN Security:
Securing the Future of Low Power Wide Area Networks
LoRaWAN has emerged as a key technology for the Internet of Things (IoT), enabling long-range communication with minimal power consumption. However, as with any rapidly growing technology, security remains a significant concern. In this research area, we focus on identifying and mitigating vulnerabilities within LoRaWAN networks to ensure that data remains confidential and networks are protected against unauthorized access. By developing new security protocols and frameworks, we aim to bolster the defenses of IoT networks, ensuring that as they scale, they remain secure and reliable. This research is vital for the future of smart cities, agriculture, and industries, where secure and efficient communication is essential for operational success.
LoRa Alliance®
Having an Idea of Your Own?
Do you have a unique research idea or an innovative concept that could change the landscape of mobile network security? We’re always open to fresh perspectives and novel approaches. Reach out to us, and let’s explore how we can bring your vision to life.
Interested in Pursuing a Thesis with Us?
Contact us at christian.zenger@rub.de to discuss these topics further and discover how you can contribute to the future of secure mobile networking. Let’s shape the future together!
