156 research outputs found
Just-in-Time Memoryless Trust for Crowdsourced IoT Services
We propose just-in-time memoryless trust for crowdsourced IoT services. We
leverage the characteristics of the IoT service environment to evaluate their
trustworthiness. A novel framework is devised to assess a service's trust
without relying on previous knowledge, i.e., memoryless trust. The framework
exploits service-session-related data to offer a trust value valid only during
the current session, i.e., just-in-time trust. Several experiments are
conducted to assess the efficiency of the proposed framework.Comment: 8 pages, Accepted and to appear in 2020 IEEE International Conference
on Web Services (ICWS). Content may change prior to final publicatio
Detecting Changes in Crowdsourced Social Media Images
We propose a novel service framework to detect changes in crowdsourced
images. We use a service-oriented approach to model and represent crowdsourced
images as image services. Non-functional attributes of an image service are
leveraged to detect changes in an image. The changes are reported in form of a
version tree. The version tree is constructed in a way that it reflects the
extent of changes introduced in different versions. Afterwards, we find
semantic differences in between different versions to determine the extent of
changes introduced in a specific version. Preliminary experimental results
demonstrate the effectiveness of the proposed approach.Comment: Accepted Paper in ICSO
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