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Construction of enterprise network information security technology system under the background of big data

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DOI: 10.23977/infse.2023.040701 | Downloads: 37 | Views: 483

Author(s)

Li Ke 1

Affiliation(s)

1 Shandong Rongyue Financial Holdings Co., Ltd, Jinan, Shandong, China

Corresponding Author

Li Ke

ABSTRACT

This paper aims to explore the construction of enterprise network information security technology system under the background of big data. With the advent of the era of big data, enterprises are facing the growing threat of network information security. In order to deal with these threats, enterprises need to establish a perfect network information security technology system. Firstly, this paper analyzes the network information security challenges faced by enterprises under the background of big data. The rapid development of big data has brought more risks such as data leakage and cyberattacks to enterprises. Secondly, this paper puts forward the key elements of constructing the technical system of network information security. By establishing these elements, enterprises can form a comprehensive network information security technology system and improve their ability to cope with network security threats. Finally, this paper summarizes the significance and challenges of building a network information security technology system. By building a perfect network information security technology system, enterprises can effectively deal with network security threats under the background of big data and protect their core information assets. However, the construction of network information security technology system also faces challenges in technology, management and personnel training, which requires the joint efforts of enterprises and relevant departments.

KEYWORDS

Big data; Enterprise; Network information; Safety technical system

CITE THIS PAPER

Li Ke, Construction of enterprise network information security technology system under the background of big data. Information Systems and Economics (2023) Vol. 4: 1-7. DOI: http://dx.doi.org/10.23977/infse.2023.040701.

REFERENCES

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