Cloud-Assisted Data Fusion and Sensor Selection for Internet-of-Things

Cloud-Assisted Data Fusion and Sensor Selection for Internet-of-Things The Internet of Things (IoT) is connecting people and smart devices on a scale that was once unimaginable. One major challenge for the IoT is to handle vast amount of sensing data generated from the smart devices that are resource-limited and subject to missing data due to link or node failures. By exploring cloud computing with the IoT, we present a cloud-based solution that takes into account the link quality and spatio-temporal correlation of data to minimize energy consumption by selecting sensors…

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Privacy-preserving Verifiable Set Operation in Big Data for Cloud-assisted Mobile Crowdsourcing

Privacy-preserving Verifiable Set Operation in Big Data for Cloud-assisted Mobile Crowdsourcing The ubiquity of smartphones makes the mobile crowdsourcing possible, where the requester can crowdsource data from the workers by using their sensor-rich mobile devices. However, data collection, data aggregation, and data analysis have become challenging problems for a resource constrained requester when data volume is extremely large, i.e., big data. In particular to data analysis, set operations, including intersection, union, and complementation, exist in most big data analysis for filtering redundant data and preprocessing raw data. Facing challenges in…

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Security, Privacy & Incentive Provision for Mobile Crowd Sensing Systems

Security, Privacy & Incentive Provision for Mobile Crowd Sensing Systems Recent advances in sensing, computing, and networking have paved the way for the emerging paradigm of Mobile Crowd Sensing (MCS). The openness of such systems and the richness of data MCS users are expected to contribute to them raise significant concerns for their security, privacy preservation and resilience. Prior works addressed different aspects of the problem. But in order to reap the benefits of this new sensing paradigm, we need a holistic solution. That is, a secure and accountable MCS…

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