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

Grube, Tim ; Hauke, Sascha ; Daubert, Jörg ; Mühlhäuser, Max (2017)
Ant Colony Optimisation - A Solution to Efficient Anonymous Group Communication?
Las Vegas (USA)
doi: 10.1109/CCNC.2017.7983129
Conference or Workshop Item, Bibliographie

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 ; Hauke, Sascha ; Daubert, Jörg ; Mühlhäuser, Max
Type of entry: Bibliographie
Title: Ant Colony Optimisation - A Solution to Efficient Anonymous Group Communication?
Language: German
Date: January 2017
Place of Publication: Las Vegas, NV, USA
Publisher: IEEE
Book Title: 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC)
Event Location: Las Vegas (USA)
DOI: 10.1109/CCNC.2017.7983129
URL / URN: 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.

Uncontrolled Keywords: - SSI - Area Secure Smart Infrastructures;- SST - Area Smart Security and Trust
Identification Number: TUD-CS-2017-0012
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)
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy
Date Deposited: 31 Dec 2016 12:59
Last Modified: 14 Jun 2021 06:14
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