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

Grube, Tim ; Hauke, Sascha ; Daubert, Jörg ; 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
[ Konferenzveröffentlichung] , (2017)

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

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2017
Autor(en): Grube, Tim ; Hauke, Sascha ; Daubert, Jörg ; Mühlhäuser, Max
Titel: Ant Colony Optimisation - A Solution to Efficient Anonymous Group Communication?
Sprache: Deutsch
Kurzbeschreibung (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.

Buchtitel: 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC)
Ort: Las Vegas, NV, USA
Verlag: IEEE
Freie Schlagworte: - SSI - Area Secure Smart Infrastructures;- SST - Area Smart Security and Trust
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy
Veranstaltungsort: Las Vegas (USA)
Hinterlegungsdatum: 31 Dez 2016 12:59
DOI: 10.1109/CCNC.2017.7983129
Offizielle URL: https://ieeexplore.ieee.org/document/7983129
ID-Nummer: TUD-CS-2017-0012
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