Anomalies Detection in Wireless Sensor Networks Using Bayesian Changepoints

被引：0
|
作者：
Ramos, Rychelly Glenneson da S. [1 ]
Junior, Paulo Ribeiro L. [1 ]
Cardoso, Jose Vinicius de M. [2 ]
机构：
[1] Inst Fed Educ Ciencias & Tecnol Paraiba, Campus Campina Grande, Campina Grande, Paraiba, Brazil
[2] Univ Fed Campina Grande, Campina Grande, Paraiba, Brazil
来源：
PROCEEDINGS 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SENSOR SYSTEMS (MASS 2016) | 2016年
关键词：
Bayesian Changepoints; Wireless Sensor Networks; Anomalies Detection;
D O I：
10.1109/MASS.2016.28
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Wireless Sensor Networks (WSN) have gained wide acceptance as a framework for telemetry and remote monitoring for applications such as telemedicine, precision agriculture, and climate monitoring. The complex and dynamic characteristics of such networks have made them vulnerable to anomalies, i.e., observations that do not correspond to the natural behavior of measurements. This paper evaluates the use of Bayesian Changepoints in the context of anomalies detection in WSNs, in order to determine under which conditions this technique leads to the minimization of false positives.
引用
收藏
页码：384 / 385
页数：2
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