Research Article
A Research on the Identification of Internet User Based on Deep Learning
@INPROCEEDINGS{10.1007/978-3-030-00557-3_8, author={Hong Shao and Liujun Tang and Ligang Dong and Long Chen and Xian Jiang and Weiming Wang}, title={A Research on the Identification of Internet User Based on Deep Learning}, proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings}, proceedings_a={MLICOM}, year={2018}, month={10}, keywords={Deep learning Deep belief network User behavior profile}, doi={10.1007/978-3-030-00557-3_8} }- Hong Shao
Liujun Tang
Ligang Dong
Long Chen
Xian Jiang
Weiming Wang
Year: 2018
A Research on the Identification of Internet User Based on Deep Learning
MLICOM
Springer
DOI: 10.1007/978-3-030-00557-3_8
Abstract
In the environment of big data, analyzing internet user behavior has become a research hot spot. By profiling the normal online behavior data of network users to learn their online habits and preferences, is not only helpful to provide network users with more efficient and personalized network services, but also to update the network security policies. Because there is no identification of network users in network management, network administrators need to develop and deliver relevant network services manually to user base on the network user Internet Protocol (IP) address. Therefore, this paper proposes the utilization of deep learning technology to identify network user automatically after fully understand the behavior of network user. At the first, a network identification model based on Deep Belief Network (DBN) is proposed. Then, we apply the Tensorflow framework to construct a DBN model suitable for network user identification. Finally, an experiment with real data set was undertaken upon the model to verify its accuracy on identifying network users. It is found that DBN-based identification model can achieve a high classification accuracy of user identity by constructing deep network structure.