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Asymmetric DCnets for Effective and Efficient Sender Anonymity

Grube, Tim and Daubert, Jörg and Mühlhäuser, Max (2019):
Asymmetric DCnets for Effective and Efficient Sender Anonymity.
IEEE, In: IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 9-13 Dec. 2018, ISSN 25766813, ISBN 9781538647271,
DOI: 10.1109/GLOCOM.2018.8647607, [Online-Edition: https://ieeexplore.ieee.org/document/8647607],
[Conference or Workshop Item]

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Abstract

Emerging connected devices lead to ubiquitous communication in which anonymity and efficiency gain additional importance. In this paper, we show that current measures for sender anonymity are not sufficient and propose a new approach based on DCnets. The novel ADCnet mechanism establishes local DCnet groups that communicate asymmetrically and hide senders with lower communication overhead in comparison to cover traffic-based anonymization and classical DCnets. This paper presents concepts for the initialization and the group formation of ADCnets. The novel mechanism of ADCnets is evaluated w.r.t. anonymity and efficiency. We show that ADCnets provide DCnet-like anonymity while massively improving efficiency.

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Grube, Tim and Daubert, Jörg and Mühlhäuser, Max
Title: Asymmetric DCnets for Effective and Efficient Sender Anonymity
Language: English
Abstract:

Emerging connected devices lead to ubiquitous communication in which anonymity and efficiency gain additional importance. In this paper, we show that current measures for sender anonymity are not sufficient and propose a new approach based on DCnets. The novel ADCnet mechanism establishes local DCnet groups that communicate asymmetrically and hide senders with lower communication overhead in comparison to cover traffic-based anonymization and classical DCnets. This paper presents concepts for the initialization and the group formation of ADCnets. The novel mechanism of ADCnets is evaluated w.r.t. anonymity and efficiency. We show that ADCnets provide DCnet-like anonymity while massively improving efficiency.

Publisher: IEEE
ISBN: 9781538647271
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 2050 Privacy and Trust for Mobile Users
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
Event Title: IEEE Global Communications Conference (GLOBECOM)
Event Location: Abu Dhabi, United Arab Emirates
Event Dates: 9-13 Dec. 2018
Date Deposited: 07 Jun 2019 06:33
DOI: 10.1109/GLOCOM.2018.8647607
Official URL: https://ieeexplore.ieee.org/document/8647607
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