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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2069

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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