Bachelor Thesis

Scans of the Internet, both of IP ranges and websites, are often used by researchers, but sometimes perceived as undesirable or even an attack by system administrators of the scanned systems. These administrators are usually given the option to opt-out of an ongoing study, but so far, these opt-out decisions have to be manually made for every study.

It would be very useful to have a global database of websites and IP ranges that do not wish to be automatically scanned. In this Bachelor thesis, you will consider what requirements such a system would need to fulfill, considering, for example:

- Verification of opt-out entries (so that only authorized people can generate a valid opt-out)

- Opt-out based on different purposes (do people want to only opt out of specific studies)

- How to share the lists of opted-out websites with researchers in a privacy-preserving way (e.g., using techniques similar to Safe Browsing)

- Depending on your inclination, you can also consider additional factors, like legal requirements, or the option to provide contact addresses in case scans find problems with a website / IP range, similar to shadowserver.org

After considering these requirements, you would then build a prototype of this system.

Due to the engineering-heavy topic, I am currently only announcing this as a bachelor thesis. However, if you have a good argument why this should be sufficient for a master thesis (e.g., by adding additional tasks to the topic, like a user study), feel free to reach out to me.

Master Thesis

Master Thesis

Bachelor Thesis

Master Thesis

Bachelor Thesis

Master Thesis

Master Thesis

Master Thesis

Bachelor Thesis

Bachelor Thesis

Master Thesis

Every day new cyber security vulnerabilities are discovered and reported, which indicate weak security standards adapted by websites. The main aim of a hacker is to steal sensitive information by exploiting these vulnerabilities. The information and data compromised can be very costly and damaging for an

Master Thesis

Master Thesis

To secure the Internet of Things (IoT) while keeping its interoperability with today’s Internet is crucial to unleash the full potential of the IoT. Authentication and Authorization are fundamental guarantees to enable further security and operational challenges. To fulfill these guarantees in complex and diverse scenarios, we

Master Thesis

Seeing the continuous increase in natural disasters around the world, many people are contemplating how to contribute helping those in need. Among them are several computer scientists who fulfil their share by developing technology which enables fast and reliable communication in disaster areas. We were inspired by their work and thus wanted to further improve the state-of-the-art. DTN is a specific technology which can be used for the creation of alternative networks in disaster areas, where conventional ones are unavailable due to the inevitable destructions implied by the disaster. Given that such technology is usually evaluated within network simulators we exclusively focus on improving the state-of-the-art of movement models and scenarios utilized within such simulators. The very random driven, and thus not realistic, state-of-the-art is improved by our contribution in the form of a fully designed, implemented, and evaluated realistic natural disaster movement model with underlying scenarios. The results of our evaluation indicate that previously published results might be too optimistic. Thus, further approximations to reality are inevitable for more accurate simulation of DTN, in the goal to ultimately obtain better and more realistic results.