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Ant Colonies for Efficient and Anonymous Group Communication Systems

Grube, Tim and Hauke, Sascha and Daubert, Jörg and Mühlhäuser, Max :
Ant Colonies for Efficient and Anonymous Group Communication Systems.
[Online-Edition: https://ieeexplore.ieee.org/abstract/document/7903958]
2017 International Conference on Networked Systems (NetSys) IEEE , Göttingen, Germany
[Conference or Workshop Item] , (2017)

Official URL: https://ieeexplore.ieee.org/abstract/document/7903958

Abstract

Online Social Networks (OSNs) are the core of many social interactions nowadays. Privacy is an important building block of free societies, and thus, for OSNs. Therefore, OSNs should support privacy-enabled communication between citizens that participate. OSNs function as group communication systems and can be build in centralized and distributed styles. Central- ized, privacy is under the sole control of a single entity. If this entity is distributed, privacy can be improved as all participants contribute to privacy. Peer-to-peer-based group communication systems overcome this issue, at the cost of large messaging overhead. The message overhead is mainly caused by early message duplication due to disjunct routing paths. In this paper, we introduce ant colony optimization to reduce the messaging overhead in peer-to-peer-based group communication systems, bridging the gap between privacy and efficiency. To optimize disjunct routing paths, we apply our adapted privacy sensitive ant colony optimization to encourage re-usage and aggregation of known paths. Our results indicate a 9–31% lower messaging overhead compared to the state of the art. Moreover, our ant colony optimization-based method reuses paths without leaking additional information, that is, we maintain the anonymity sets so that participants remain probable innocent.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Grube, Tim and Hauke, Sascha and Daubert, Jörg and Mühlhäuser, Max
Title: Ant Colonies for Efficient and Anonymous Group Communication Systems
Language: German
Abstract:

Online Social Networks (OSNs) are the core of many social interactions nowadays. Privacy is an important building block of free societies, and thus, for OSNs. Therefore, OSNs should support privacy-enabled communication between citizens that participate. OSNs function as group communication systems and can be build in centralized and distributed styles. Central- ized, privacy is under the sole control of a single entity. If this entity is distributed, privacy can be improved as all participants contribute to privacy. Peer-to-peer-based group communication systems overcome this issue, at the cost of large messaging overhead. The message overhead is mainly caused by early message duplication due to disjunct routing paths. In this paper, we introduce ant colony optimization to reduce the messaging overhead in peer-to-peer-based group communication systems, bridging the gap between privacy and efficiency. To optimize disjunct routing paths, we apply our adapted privacy sensitive ant colony optimization to encourage re-usage and aggregation of known paths. Our results indicate a 9–31% lower messaging overhead compared to the state of the art. Moreover, our ant colony optimization-based method reuses paths without leaking additional information, that is, we maintain the anonymity sets so that participants remain probable innocent.

Title of Book: 2017 International Conference on Networked Systems (NetSys)
Place of Publication: Göttingen, Germany
Publisher: IEEE
Uncontrolled Keywords: - SSI - Area Secure Smart Infrastructures;- SST - Area Smart Security and Trust;SPIN: Smart Protection in Infrastructures and Networks
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
Date Deposited: 31 Dec 2016 12:59
DOI: 10.1109/NetSys.2017.7903958
Official URL: https://ieeexplore.ieee.org/abstract/document/7903958
Identification Number: TUD-CS-2017-0013
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