Abstract
In this demo proposal, we present a new system, called DISTRO (a.k.a DIstributed STReam Outlier Detector), for detecting outliers from distributed data streams. DISTRO is able to effectively identify outliers from distributed data streams that are consistent with those generated by the centralized detection paradigm. DISTRO is also able to ensure high-level data privacy throughout the detection process. A number of optimization strategies are devised to further enhance its speed and communication performance. This proposal provides details on the motivation and technical challenges of detecting outliers from distributed data streams, presents an overview of DISTRO, and gives the plans for its system demonstration.
This work is partly supported by the Tasmanian ICT Centre, which is jointly funded by the Australian Government through the Intelligent Island Program and CSIRO.
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Zhang, J., Dekeyser, S., Wang, H., Shu, Y. (2010). DISTRO: A System for Detecting Global Outliers from Distributed Data Streams with Privacy Protection. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 5982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12098-5_54
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DOI: https://doi.org/10.1007/978-3-642-12098-5_54
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