Journal Articles by F. Kargl


S. Dietzel, J. Gürtler, and F. Kargl
A resilient in-network aggregation mechanism for VANETs based on dissemination redundancy
Elsevier Ad Hoc Networks, 2015
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S. Dietzel, J. Petit, F. Kargl, and B. Scheuermann
In-Network Aggregation for Vehicular Ad Hoc Networks
IEEE Communications Surveys & Tutorials, 16(4), 2014
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S. Dietzel, J. Petit, G. Heijenk, and F. Kargl
Graph-Based Metrics for Insider Attack Detection in VANET Multihop Data Dissemination Protocols
IEEE Transactions on Vehicular Technology, 62(4), 2013
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S. Dietzel, F. Kargl, G. Heijenk, and F. Schaub
Modeling in-Network Aggregation in VANETs
IEEE Communications Magazine, 49(11), 2011
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S. Dietzel, E. Schoch, B. Könings, M. Weber, and F. Kargl
Resilient Secure Aggregation for Vehicular Networks
IEEE Network, 24(1), 2010
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Conference Papers


S. Dietzel, R. van der Heijden, J. Petit, and F. Kargl
Context-adaptive Detection of Insider Attacks in VANET Information Dissemination Schemes
VNC '15: Proceedings of the 7th Annual IEEE Vehicular Networking Conference (to appear), IEEE, 2015
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S. Dietzel, A. Peter, and F. Kargl
Secure Cluster-based In-network Information Aggregation for Vehicular Networks
VTC Spring '15: IEEE 81st Vehicular Technology Conference, IEEE, 2015
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S. Dietzel, R. van der Heijden, H. Decke, and F. Kargl
A flexible, subjective logic-based framework for misbehavior detection in V2V networks
IEEE 15th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), IEEE, 2014
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S. Dietzel, J. Gürtler, R. van der Heijden, and F. Kargl
Redundancy-based Statistical Analysis for Insider Attack Detection in VANET Aggregation Schemes
IEEE Vehicular Networking Conference (VNC), IEEE, 2014
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N. Aschenbruck, F. Kargl, and B. Scheuermann
Context-adaptive Networking for Ad-hoc Networks
7th Workshop on Wireless and Mobile Ad-Hoc Networks (WMAN), 2013
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S. Dietzel, M. Balanici, and F. Kargl
Short paper: Towards data-similarity-based clustering for inter-vehicle communication
IEEE Vehicular Networking Conference (VNC), IEEE, 2013
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R. van der Heijden, S. Dietzel, and F. Kargl
SeDyA: secure dynamic aggregation in VANETs
ACM conference on Security and privacy in wireless and mobile networks (WiSec), ACM, 2013
DOI, RIS, BibTex
F. Schaub, B. Könings, S. Dietzel, M. Weber, and F. Kargl
Privacy Context Model for Dynamic Privacy Adaptation in Ubiquitous Computing
ACM Conference on Ubiquitous Computing, ACM, 2012
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S. Dietzel, M. Kost, F. Schaub, and F. Kargl
CANE: A Controlled Application Environment for privacy protection in ITS
12th International Conference on ITS Telecommunications (ITST), IEEE, 2012
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S. Dietzel, J. Petit, F. Kargl, and G. Heijenk
Short paper: Analyzing Dissemination Redundancy to Achieve Data Consistency in VANETs
Ninth ACM international workshop on VehiculAr InterNETworking (VANET), ACM, 2012
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E. Schoch, B. Bako, S. Dietzel, and F. Kargl
Dependable and secure geocast in vehicular networks
Seventh ACM international workshop on VehiculAr InterNETworking (VANET), ACM, 2010
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F. Kargl, F. Schaub, and S. Dietzel
Mandatory Enforcement of Privacy Policies using Trusted Computing Principles
Intelligent Information Privacy Management Symposium, AAAI, 2010
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S. Dietzel, F. Kargl, G. Heijenk, and F. Schaub
On the Potential of Generic Modeling for VANET Data Aggregation Protocols
2nd IEEE Vehicular Networking Conference (VNC), IEEE, 2010
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B. Könings, F. Schaub, F. Kargl, and S. Dietzel
Channel switch and quiet attack: New DoS attacks exploiting the 802.11 standard
IEEE 34th Conference on Local Computer Networks (LCN), IEEE, 2009
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S. Dietzel, B. Bako, E. Schoch, and F. Kargl
A Fuzzy Logic Based Approach for Structure-Free Aggregation in Vehicular ad-hoc Networks
Sixth ACM international workshop on VehiculAr InterNETworking (VANET), ACM, 2009
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Technical Reports


R. W. van der Heijden, S. Dietzel, T. Leinmüller, and F. Kargl
Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems
arXiv.org, 2016
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Book Chapters


J. Petit, S. Dietzel, and F. Kargl
Privacy of Connected Vehicles
Handbook of Mobile Data Privacy, Springer, 2018, ISBN 978-3-319-98161-1
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