I am a researcher at COMSYS since 2015 and my main research interests are blockchain technology and the design of privacy-enhancing systems.
Blockchain technology, as introduced by Bitcoin, constitutes a virtually unchangeable log of events, e.g., financial transactions, and thereby eliminates attacks such as equivocation. In my research, I am interested in general properties of blockchains as well as their applications, e.g., to improve the trustworthiness of existing systems and to discover entirely novel use cases.
Privacy-enhancing technologies (PETs) usually comprise basic principles and technologies that can be utilized to increase user privacy. With respect to privacy-enhancing systems, I am interested in developing new architectures that allow to utilize PETs in novel ways and thereby further reduce the trust users are required to put into the online services they use.
I was awarded the 3rd prize of Univention Graduate Award 2016 for my M.Sc. thesis about improving CoinParty, our mixnet-based approach to Bitcoin anonymization, and 3rd prize of MINT Award 2013 for my B.Sc. thesis about user-controlled utilization of sensor data in the cloud.
M.Sc. Computer Science, 2015
RWTH Aachen University
B.Sc. Computer Science, 2013
RWTH Aachen University
In this paper, we present the full design of CoinPrune, our block-pruning protocol that is retrofittable to Bitcoin via a velvet fork. This work extends our initial paper presented at IFIP Networking 2020 by enabling CoinPrune to obfuscate most objectionable content stored in the UTXO set and introducing an additional store for application-level data. Furthermore, we extend our security discussion, our discussion of related work, we updated our performance evaluation, and we released a prototype implementation of CoinPrune.
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