Zhang, Ji and Dekeyser, Stijn and Wang, Hua and Shu, Yanfeng (2010) DISTRO: a system for detecting global outliers from distributed data streams with privacy protection. In: DASFAA 2010: 15th International Conference on Database Systems for Advanced Applications , 1-4 Apr 2010, Tsukuba, Japan.
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.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||Permanent restricted access to published version due to publisher copyright restrictions. Series title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) volume 5982|
|Uncontrolled Keywords:||DIstributed STReam Outlier Detector; DISTRO; communication performance; detection process; distributed data streams; new system; optimization strategy; privacy protection; technical challenges|
|Depositing User:||Dr Ji Zhang|
|Date Deposited:||16 Feb 2011 02:35|
|Last Modified:||03 Jul 2013 00:27|
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