◾ Flow-Based Anomaly Detection in Big Data
Shui Yu, Xiaodong Lin, Jelena Misic, Xuemin (Sherman) Shen · 2015
INTRODUCTION Every day, a large amount of new data is produced by high-speed networks. is Big Data can be created from many sources, for example, sensors for climate information, social media sites and on-line purchases. erefore, Big Data has a large volume of data and an extraordinary diversity of data, and an eective analytical method is very essential [1,2].