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http://hdl.handle.net/123456789/2069
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Title: | A Survey for Big Data Computings of Anomaly Detections in the Military |
Authors: | Koprach, Nikom Pawgasame, Wichai |
Keywords: | Anomaly Detections Big Data Computings Parallel Computing Distributed Computings |
Issue Date: | 2017 |
Publisher: | Defense Technology Institute |
Series/Report no.: | 60040; |
Abstract: | Anomaly Detection is a tool that detects anomalies
in a big data. Anomaly detection acts as frontline of defense
for security demanded system. Early detection of anomaly data
pattern can prevent severe damages from taking place. Anomaly
detection has found many potentials in Military Operations,
where protection against anomaly behaviors is the first priority.
Most of the data that anomaly detections are dealing with are big
data, which has large volume, large variety, high velocity, and
high veracity. Processing such big data requires huge amount of
computing resources. This is infeasible with a single processing
unit. This article explores the characteristics and applications
of anomaly detections in military. In addition, the big data
computing technologies are also presented as potential solutions
to anomaly detections . |
Description: | บทความวิจัย |
URI: | http://hdl.handle.net/123456789/2069 |
Appears in Collections: | ผลงานด้านการวิจัยและพัฒนานวัตกรรมและเทคโนโลยีป้องกันประเทศเพื่อนำไปสู่อุตสาหกรรมป้องกันประเทศ
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