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Socio Path: Protecting Privacy by Self-Sufficient Data Distribution in User-Centric Networks

Hartmann, Fabian 1; Baumgart, Ingmar 1
1 Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Communication between users poses a privacy problem as soon as it relies on a third party. The problem ranges from personalized advertising to mass surveillance and applies primarily to centralized application service providers. However, also nodes in decentralized approaches are often under control by a third party. We argue that application data and metadata between a set of users can stay private only by self-sufficiency, i.e. exclusive end-to-end communication between devices under these users' control. State synchronization is a main challenge here, since especially mobile devices are prone to churn and varying connectivity. We present SocioPath, a decentralized protocol for self-sufficient user-to-user communication. It handles device heterogeneity by decoupling data objects from notifications and keeping recurrent state exchanges small. Additionally, it offers a user-centric application interface which abstracts from devices towards the user. Evaluation results show that even under heavy churn, it is possible to achieve a high delivery ratio and large scalability.

DOI: 10.1109/BDCloud.2014.100
Zitationen: 1
Zitationen: 1
Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2014
Sprache Englisch
Identifikator ISBN: 978-1-4799-6719-3
KITopen-ID: 1000087115
Erschienen in IEEE Fourth International Conference on Big Data and Cloud Computing, Sydney, NSW, Australia, 3-5 December 2014. Ed.: J. Chen
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Nachgewiesen in Scopus
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