Grube, Tim ; Hauke, Sascha ; Daubert, Jörg ; Mühlhäuser, Max (2017):
Ant Colony Optimisation - A Solution to Efficient Anonymous Group Communication?
In: 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), pp. 337-340,
Las Vegas, NV, USA, IEEE, Las Vegas (USA), DOI: 10.1109/CCNC.2017.7983129,
[Conference or Workshop Item]
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 |
| 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. |
| Book Title: | 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: | 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 |
| Event Location: | Las Vegas (USA) |
| Date Deposited: | 31 Dec 2016 12:59 |
| DOI: | 10.1109/CCNC.2017.7983129 |
| URL / URN: | https://ieeexplore.ieee.org/document/7983129 |
| Identification Number: | TUD-CS-2017-0012 |
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