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Hannes Hartenstein

Researcher at Karlsruhe Institute of Technology

Publications -  250
Citations -  15212

Hannes Hartenstein is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Vehicular ad hoc network & Wireless ad hoc network. The author has an hindex of 55, co-authored 234 publications receiving 14515 citations. Previous affiliations of Hannes Hartenstein include University of Mannheim & University of Freiburg.

Papers
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Proceedings Article

OCCASIO: An operable concept for confidential and secure identity outsourcing

TL;DR: This paper addresses the challenge of outsourcing the entire identity provider with its user database to an untrusted external provider in a secure and privacy-preserving way and builds on concepts of outsourcing databases and particularly on Merkle Hash Trees.
Proceedings ArticleDOI

On the challenge of assessing overlay topology adaptation mechanisms

TL;DR: It is argued that a peer-to-peer network's overlay topology should adapt to match the demand graph of the peer- to- peer network.
Proceedings ArticleDOI

On the Resource Consumption of Secure Data Sharing

TL;DR: This work estimates the resource consumption that secure data sharing based on client-side cryptography requires in terms of computation time and network traffic volume and provides a clearly defined resource consumption estimation model.
Book ChapterDOI

Mining taxonomies from web menus: rule-based concepts and algorithms

TL;DR: This paper presents the first detailed analysis of the problem and introduces rule-based concepts for addressing each identified sub problem and allows extracting Web site taxonomy information that was not available before with high precision and high recall.
Book ChapterDOI

Simulative Analysis of Vehicle-to-X Communication considering Traffic Safety and Efficiency

TL;DR: This work uses the HP XC4000 for an extensive and detailed sensitivity analysis in order to evaluate the robustness and performance of communication protocols as well as to capture the complex characteristics of such systems in terms of an empirical model.