Research on Information Communication Network Security Under the Background of Big Data

Xiaoying Chen

2023

Abstract

At present, the rapid development of big data technology has a wide impact on all walks of life. This study is based on the information communication network security management under the background of big data. By analyzing the background and importance of network security, this paper aims to explore the information and communication network security management strategy, research and formulate information and communication network security risk management strategy and network security protection strategy in view of relevant issues, so as to cope with the security challenges in the context of big data. The purpose of this study is to improve the security of information and communication networks and provide important reference for the security management of information and communication networks in the era of big data.

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Paper Citation


in Harvard Style

Chen X. (2023). Research on Information Communication Network Security Under the Background of Big Data. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 526-530. DOI: 10.5220/0012287000003807


in Bibtex Style

@conference{anit23,
author={Xiaoying Chen},
title={Research on Information Communication Network Security Under the Background of Big Data},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={526-530},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012287000003807},
isbn={978-989-758-677-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Research on Information Communication Network Security Under the Background of Big Data
SN - 978-989-758-677-4
AU - Chen X.
PY - 2023
SP - 526
EP - 530
DO - 10.5220/0012287000003807
PB - SciTePress