Research Article
IP Network Traffic Analysis Based on Big Data
@INPROCEEDINGS{10.1007/978-3-030-19086-6_43, author={Hanqi Yin and Jianguo Sun and Yiqi Shi and Liu Sun}, title={IP Network Traffic Analysis Based on Big Data}, proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings}, proceedings_a={ADHIP}, year={2019}, month={5}, keywords={Big data Traffic analysis Hadoop}, doi={10.1007/978-3-030-19086-6_43} }- Hanqi Yin
Jianguo Sun
Yiqi Shi
Liu Sun
Year: 2019
IP Network Traffic Analysis Based on Big Data
ADHIP
Springer
DOI: 10.1007/978-3-030-19086-6_43
Abstract
Big data is a hot topic in the current academia and industry circles, which is influencing people’s daily lifestyles, work habits and ways of thinking. Due to the complexity of data itself and the huge amount of data, big data faces many problems in the process of collection, storage and use. It requires a new processing model to have greater decision making, insight and process optimization capabilities to accommodate massive, high growth rates and diverse information. The strategic significance of big data is not to master huge data information, but to conduct specialized analysis and processing of these meaningful data. This paper focuses on the analysis of IP network traffic under big data, and studies the sources of existing network traffic, the purpose of traffic analysis, and the common analysis methods for big data traffic. The structure and usability of Hadoop-based traffic analysis framework are mainly studied, and a new prospect is proposed for the future development direction.
