Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Computer Network safety and Precautionary Measures in the Big Data Era

Authors
Nu Zou, Xiaoyan Liu
Corresponding Author
Nu Zou
Available Online May 2018.
DOI
https://doi.org/10.2991/amcce-18.2018.123How to use a DOI?
Keywords
real-time big data, processing technology, state monitoring, filed, application
Abstract
With the increasing of information technology in China, and the intelligence of network building, the requirements for safety detection technology of network operation are raising both in depth and width. The state detection work needs to gather a large amount of data information, and the operation of network system involves many important factors. Only by conducting all-around control can the operation, production and management in all industries are driven. It is suggested that, the application advantages of safety detection system should be taken to demonstrate the value in applying technology. Particularly in the big data era, the application of computer network safety and precaution processing technology often manifest in the system monitoring. If it fails, the utility of information technology will be hard to be guaranteed, and the operation safety cannot be improved. Therefore, the authors believed that, it is necessary to have a comprehensive knowledge about the concept of computer network safety, and summarize and divide problems in the network safety. Then, the authors proposed related theories to deal with the problems, which have formed a systematic precaution system, laying a solid foundation for the safe network operation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Nu Zou
AU  - Xiaoyan Liu
PY  - 2018/05
DA  - 2018/05
TI  - Computer Network safety and Precautionary Measures in the Big Data Era
BT  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 711
EP  - 715
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.123
DO  - https://doi.org/10.2991/amcce-18.2018.123
ID  - Zou2018/05
ER  -