Prof. Scheuermann erforscht die optimierte Ausführung von Datenanalyseworkflows in verteilten Infrastrukturen, insbesondere durch Software-Defined Networking. Sein aktueller Fokus liegt darauf, automatisch zu erkennen, wie Datenflüsse und Netzwerknutzung bei der Verarbeitung großer Datenmengen besser koordiniert werden können — ein Problem, das Unternehmen heute bei der Migration von Analysen zwischen verschiedenen Rechenzentren oder Cloud-Umgebungen häufig lösen müssen. Daneben arbeitet er an Kommunikationskonzepten für verteilte Kleinstsatellitensysteme, wo ähnliche Koordinationsprobleme in der Raumfahrt entstehen. Die Methoden sind relevant für Datenverarbeitung in der Industrie, Cloud-Computing-Anbieter und Raumfahrtunternehmen.
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Prof. Dr. Björn Scheuermann
HU-FIS-Profil ↗In dem Vorhaben wird eine neue WLAN-basierte Übertragungstechnologie zwischen mobilen Endgeräten sowie zwischen Endgerät und Laptop oder PC entwickelt.
IEEE Communications Surveys & Tutorials · DOI
Besides attracting a billion dollar economy, Bitcoin revolutionized the field of digital currencies and influenced many adjacent areas. This also induced significant scientific interest. In this survey, we unroll and structure the manyfold results and research directions. We start by introducing the Bitcoin protocol and its building blocks. From there we continue to explore the design space by discussing existing contributions and results. In the process, we deduce the fundamental structures and insights at the core of the Bitcoin protocol and its applications. As we show and discuss, many key ideas are likewise applicable in various other fields, so that their impact reaches far beyond Bitcoin itself.
Abstract—Tor is a distributed onion-routing network used for achieving anonymity and resisting censorship online. Because of Tor’s growing popularity, it is attracting increasingly larger threats against which it was not securely designed. In this paper, we present the Sniper Attack, an extremely low cost but highly destructive denial of service attack against Tor that an adversary may use to anonymously disable arbitrary Tor relays. The attack utilizes valid protocol messages to boundlessly consume memory by exploiting Tor’s end-to-end reliable data transport. We design and evaluate a prototype of the attack to show its feasibility and efficiency: our experiments show that an adversary may consume a victim relay’s memory by as much as 2187 KiB/s while using at most only 92 KiB/s of upstream bandwidth. We extend our experimental results to estimate the threat against the live Tor network and find that a strategic adversary could disable all of the top 20 exit relays in only 29 minutes, thereby reducing Tor’s bandwidth capacity by 35 percent. We also show how the attack enables the deanonymization of hidden services through selective denial of service by forcing them to choose guard nodes in control of the adversary. Finally, we discuss defenses against the Sniper Attack that provably render the attack ineffective, and suggest defenses against deanonymization by denial-of-service attacks in general that significantly mitigate the threat. I.
IEEE Communications Surveys & Tutorials · DOI
In-network aggregation mechanisms for vehicular ad hoc networks (VANETs) aim at improving communication efficiency by summarizing information that is exchanged between vehicles. Summaries are calculated, while data items are generated in and forwarded through the network. Due to its high bandwidth saving potential, aggregation is a vital building block for many of the applications envisioned in VANETs. At the same time, the specific environment of VANETs calls for novel approaches to aggregation, which address their challenging requirements. In this paper, we survey and structure this active research field. We propose a generic model to describe and classify the proposed approaches, and we identify future research challenges.