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Ant Colony Optimisation - A Solution to Efficient Anonymous Group Communication?

Grube, Tim and Hauke, Sascha and Daubert, Jörg and Mühlhäuser, Max :
Ant Colony Optimisation - A Solution to Efficient Anonymous Group Communication?
[Online-Edition: https://ieeexplore.ieee.org/document/7983129]
2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC) IEEE , Las Vegas, NV, USA
[Conference or Workshop Item] , (2017)

Official URL: https://ieeexplore.ieee.org/document/7983129

Abstract

Online Social Networks (OSNs) are the core of most communications nowadays, leading to possibly sensitive information exchange. Privacy is an important building block of free societies, and thus, for OSNs. OSNs function as group communication systems and can be build in centralised and distributed styles. Privacy can be achieved in distributed systems as all participants contribute to privacy. Peer-to-peer-based group communication systems achieve this privacy improvement par- tially, at the cost of additional messaging overhead. In this paper, we introduce ant colony optimisation to reduce the messaging overhead of anonymous communication systems, bridging the gap between privacy and efficiency. We apply our adapted privacy sensitive ant colony optimization to improve routing paths by encouraging re-usage and aggregation. Our first results indicate a 9–13% lower messaging overhead compared to the state of the art, while maintaining privacy.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Grube, Tim and Hauke, Sascha and Daubert, Jörg and Mühlhäuser, Max
Title: Ant Colony Optimisation - A Solution to Efficient Anonymous Group Communication?
Language: German
Abstract:

Online Social Networks (OSNs) are the core of most communications nowadays, leading to possibly sensitive information exchange. Privacy is an important building block of free societies, and thus, for OSNs. OSNs function as group communication systems and can be build in centralised and distributed styles. Privacy can be achieved in distributed systems as all participants contribute to privacy. Peer-to-peer-based group communication systems achieve this privacy improvement par- tially, at the cost of additional messaging overhead. In this paper, we introduce ant colony optimisation to reduce the messaging overhead of anonymous communication systems, bridging the gap between privacy and efficiency. We apply our adapted privacy sensitive ant colony optimization to improve routing paths by encouraging re-usage and aggregation. Our first results indicate a 9–13% lower messaging overhead compared to the state of the art, while maintaining privacy.

Title of Book: 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC)
Place of Publication: Las Vegas, NV, USA
Publisher: IEEE
Uncontrolled Keywords: - SSI - Area Secure Smart Infrastructures;- SST - Area Smart Security and Trust
Divisions: Department of Computer Science
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)
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy
Event Location: Las Vegas (USA)
Date Deposited: 31 Dec 2016 12:59
DOI: 10.1109/CCNC.2017.7983129
Official URL: https://ieeexplore.ieee.org/document/7983129
Identification Number: TUD-CS-2017-0012
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