Abstract | ||
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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 partially, 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. |
Year | DOI | Venue |
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2017 | 10.1109/CCNC.2017.7983129 | 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC) |
Keywords | Field | DocType |
ant colony optimisation,anonymous group communication,online social networks,OSN,information exchange,distributed systems,peer-to-peer-based group communication systems,messaging overhead,routing paths | Ant colony optimization algorithms,Social network,Computer science,Communication in small groups,Bridging (networking),Communications system,Computer network,Information sensitivity,Ant colony,Privacy software,Distributed computing | Conference |
ISSN | ISBN | Citations |
2331-9852 | 978-1-5090-6197-6 | 0 |
PageRank | References | Authors |
0.34 | 12 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tim Grube | 1 | 19 | 7.54 |
Sascha Hauke | 2 | 68 | 8.15 |
Jörg Daubert | 3 | 43 | 8.79 |
Max Mühlhäuser | 4 | 1652 | 252.87 |