Title: Rapid, User-Transparent, and Trustworthy Device Pairing for D2D-Enabled Mobile Crowdsourcing,
Abstract: Mobile Crowdsourcing is a promising service paradigm utilizing ubiquitous
mobile devices to facilitate largescale crowdsourcing tasks (e.g. urban sensing
and collaborative computing). Many applications in this domain require
Device-to-Device (D2D) communications between participating devices for
interactive operations such as task collaborations and file transmissions.
Considering the private participating devices and their opportunistic
encountering behaviors, it is highly desired to establish secure and
trustworthy D2D connections in a fast and autonomous way, which is vital for
implementing practical Mobile Crowdsourcing Systems (MCSs). In this paper, we
develop an efficient scheme, Trustworthy Device Pairing (TDP), which achieves
user-transparent secure D2D connections and reliable peer device selections for
trustworthy D2D communications. Through rigorous analysis, we demonstrate the
effectiveness and security intensity of TDP in theory. The performance of TDP
is evaluated based on both real-world prototype experiments and extensive
trace-driven simulations. Evaluation results verify our theoretical analysis
and show that TDP significantly outperforms existing approaches in terms of
pairing speed, stability, and security.