DISTRO: a system for detecting global outliers from distributed data streams with privacy protection
Paper
Paper/Presentation Title | DISTRO: a system for detecting global outliers from distributed data streams with privacy protection |
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Presentation Type | Paper |
Authors | Zhang, Ji (Author), Dekeyser, Stijn (Author), Wang, Hua (Author) and Shu, Yanfeng (Author) |
Editors | Kitagawa, Hiroyuki, Ishikawa, Yoshiharu, Li, Qing and Watanabe, Chiemi |
Journal or Proceedings Title | Lecture Notes in Computer Science (Book series) |
Journal Citation | 5982 (2), pp. 477-481 |
Number of Pages | 5 |
Year | 2010 |
Publisher | Springer |
Place of Publication | Germany |
ISSN | 1611-3349 |
0302-9743 | |
ISBN | 9783642120978 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-12098-5_54 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-642-12098-5_54 |
Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-3-642-12098-5 |
Conference/Event | DASFAA 2010: 15th International Conference on Database Systems for Advanced Applications |
Event Details | DASFAA 2010: 15th International Conference on Database Systems for Advanced Applications Event Date 01 to end of 04 Apr 2010 Event Location Tsukuba, Japan |
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. |
Keywords | DIstributed STReam Outlier Detector; DISTRO; communication performance; detection process; distributed data streams; new system; optimization strategy; privacy protection; technical challenges |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
400604. Network engineering | |
460499. Cybersecurity and privacy not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Department of Mathematics and Computing |
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0733/distro-a-system-for-detecting-global-outliers-from-distributed-data-streams-with-privacy-protection
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