Institut für Verteilte Systeme

Gruppenbild der Mitarbeiter am Institut für Verteilte Systeme mit Herrn Prof. Kargl und Prof. Hauck

Unser Institut beschäftigt sich mit Themen wie Skalierbarkeit, Zuverlässigkeit, Sicherheit und Datenschutz, Selbstorganisation und Beherrschbarkeit von Komplexität in Verteilten Systemen in einer Vielzahl von Einsatzszenarien wie Cloud-Computing oder Fahrzeug-Fahrzeug-Kommunikation.

In der Lehre decken wir das gesamte Spektrum von Rechnernetzen, über verteilte Systeme bis hin zu Sicherheit und Privacy-Schutz ab.

Unsere letzten Publikationen


Kopp, Henning; Kargl, Frank; Bösch, Christoph
Publicly Verifiable Static Proofs of Storage: A Novel Scheme & Efficiency Comparisons
ICICS 2018 aus LNCS
Herausgeber: Springer,
2018
Bösch, Christoph
An Efficient Privacy-Preserving Outsourced Geofencing Service Using Bloom Filter
IEEE Vehicular Networking Conference, {VNC} 2018, Taipei, Taiwan, December 5-7, 2018.
2018
akzeptiert
Agrawal, Kushal; Mehdi, Muntazir; Reichert, Manfred; Hauck, Franz J.; Schlee, Winfried; Probst, Thomas; Pryss, Rüdiger
Towards incentive management mechanisms in the context of crowdsensing technologies based on TrackYour Tinnitus insights
Proc. of the 15th Int. Conf. on Mobile Sys. and Perv. Comp. (MobiSPC) Band 134 aus Procedia Computer Science
2018

Zusammenfassung: The increased use of mobile devices has led to an improvement in the public health care through participatory interventions. For example, patients were empowered to contribute in treatment processes with the help of mobile crowdsourcing and crowdsensing technologies. However, when using the latter technologies, one prominent challenge constitutes a continuous user engagement. Incentive management techniques can help to tackle this challenge by motivating users through rewards and recognition in exchange of task completion. For this purpose, we aim at developing a conceptual framework that can be integrated with existing mHealth mobile crowdsourcing and crowdsensing platforms. The development of this framework is based on insights we obtained from the TrackYourTinnitus (TYT) mobile crowdsensing platform. TYT, in turn, pursues the goal to reveal insights to the moment-to-moment variability of patients suffering from tinnitus. The work at hands presents evaluated data of TYT and illustrates how the results drive the idea of a conceptual framework for an incentive management in this context. Our results indicate that a proper incentive management should play an important role in the context of any mHealth platform that incorporates the idea of the crowd.

Mehdi, Muntazir; Mühlmeier, Guido; Agrawal, Kushal; Pryss, Rüdiger; Schlee, Winfried; Hauck, Franz J.
Referenceable mobile crowdsensing architecture
Proc. of the 1st Int. Worksh. on Serv. for Mobile Data Coll. (MoDaC) Band 134 aus Procedia Computer Science
2018

Zusammenfassung: Smartphones have become an integral part in life of users, mainly because over the course of recent years, they have become extremely mainstream, cheap, flexible, and they pack high-end hardware that offers high computational capabilities. Many, if not all of today’s smartphones are equipped with sophisticated sensors which enable smart mobile sensing. The programmable nature of these sensors in the smartphones enable a wide array of possibilities to achieve user-centric or environmental sensing. Even though there have been different approaches proposed to develop a smartphone app, platform, design frameworks, APIs, and even application-specific architectures, there is a lack of generalised referenceable architecture in the literature. In this paper, we propose a generic reference architecture, which can be derived to create more concrete mobile sensing or mobile app architectures. Furthermore, we realise the proposed reference architecture in a healthcare use case, specifically in the context of applying smart mobile sensing to support tinnitus research.

Engelmann, Felix; Kopp, Henning; Kargl, Frank; Glaser, Florian; Weinhardt, Christof
Towards an Economic Analysis of Routing in Payment Channel Networks
Proc. of the 1st Workshop on Scalable and Resilient Infrastruct. for Distrib. Ledgers (SERIAL)
Herausgeber: ACM,
Dezember 2017
akzeptiert
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