Institut für Verteilte Systeme

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


Erb, Benjamin; Kargl, Frank
Combining Discrete Event Simulations and Event Sourcing
7th International ICST Conference on Simulation Tools and Techniques, SIMUTools '14 , Seite 51-55.
August 2014
ISBN: 978-1-63190-007-5
Engelmann, Felix; Lukaseder, Thomas; Erb, Benjamin; van der Heijden, Rens W.; Kargl, Frank
Dynamic Packet-filtering in High-speed Networks Using NetFPGAs
Proceedings of the 3rd International Conference on Future Generation Communication Technology (Best Paper Award) , Seite 55-59.
Herausgeber: IEEE,
August 2014
Dietzel, Stefan; van der Heijden, Rens W.; Decke, Hendrik; Kargl, Frank
A Flexible, Subjective Logic-based Framework for Misbehavior Detection in V2V Networks
Proceedings of the 1st WoWMoM Workshop on Smart Vehicles: Connectivity Technologies and ITS Applications
IEEE
Juni 2014
akzeptiert

Zusammenfassung: Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication aims to increase safety, efficiency, and comfort of drivers. Vehicles periodically broadcast their current status, such as position, velocity, and other information. Received information is stored in a local knowledge base, often called world model, and used for application decisions. Because of the potential impact, V2V communication is an interesting target for malicious attackers. Message integrity protection using cryptographic signatures only protects against outsider attackers. In addition to signatures, misbehavior detection mechanisms comparable to intrusion detection systems (IDS) are needed to detect insider attackers. Given the complexity and large number of foreseen V2V and V2I applications, misbehavior detection cannot be a one-size-fits-all solution. In this paper, we present a flexible framework that can combine a range of different misbehavior detection mechanisms by modeling their outputs using subjective logic. We demonstrate the feasibility of our framework by using a combination of existing detection mechanisms to increase their misbehavior detection results.

Erb, Benjamin; Kargl, Frank; Domaschka, Jörg
Concurrent programming in web applications
it-Information Technology, 56(3):119--126
Mai 2014
Feiri, Michael; Petit, Jonathan; Kargl, Frank
An evaluation framework for pre-distribution strategies of certificates in VANETs
Proceedings of 2nd GI/ITG KuVS Fachgespräch Inter-Vehicle Communication (FG-IVC 2014)
Februar 2014
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