Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

A Network Datagram and Big Data Based Research on Method of User Profile

Authors
Jiabin Li, Zhi Xue
Corresponding Author
Jiabin Li
Available Online July 2016.
DOI
10.2991/iccia-17.2017.5How to use a DOI?
Keywords
Big Data, User Profile, Network Datagram, Behaviour Forecast, Security Management.
Abstract

Big data analysis technology is getting more and more popular among various enterprises, government departments and other institutions. With the help of huge amount of data, network users' behaviour in cyber space can be vividly described. This paper first introduces the status of research on user profile, then puts forward a new method, using big data technology to analysis users' network datagram; then the paper builds up a system to wrap the data storage and search module, the profiling module and visualizing module all together. The paper aims to provide some insights for better governance, enterprise operation and security management.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
10.2991/iccia-17.2017.5
ISSN
2352-538X
DOI
10.2991/iccia-17.2017.5How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jiabin Li
AU  - Zhi Xue
PY  - 2016/07
DA  - 2016/07
TI  - A Network Datagram and Big Data Based Research on Method of User Profile
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 26
EP  - 32
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.5
DO  - 10.2991/iccia-17.2017.5
ID  - Li2016/07
ER  -