NIHCSIMay 14, 2012

Bridge the Gap: Measuring and Analyzing Technical Data for Social Trust between Smartphones

arXiv:1205.3068v13 citations
Originality Incremental advance
AI Analysis

This addresses the need for mutual trust in mobile ad-hoc networks, but it is incremental as it applies an existing concept of social trust to smartphone data.

The study tackled the problem of establishing trust between smartphones by deriving social trust from technical data like call and message logs, showing that a reliable a priori trust value can be derived from common social communication metrics based on a survey of over 217 Android users.

Mobiles are nowadays the most relevant communication devices in terms of quantity and flexibility. Like in most MANETs ad-hoc communication between two mobile phones requires mutual trust between the devices. A new way of establishing this trust conducts social trust from technically measurable data (e.g., interaction logs). To explore the relation between social and technical trust, we conduct a large-scale survey with more than 217 Android users and analyze their anonymized call and message logs. We show that a reliable a priori trust value for a mobile system can be derived from common social communication metrics.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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