Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)

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On Data Security Protection Strategies for Petrochemical Enterprises amidst the Era of Big Data

Authors
Aijiao Jing1, Liang Song2, *, Qi Chen1, Xinbei Lv1, Huanyu Zhou1
1Digital Intelligence Company, PetroChina Southwest Oil & Gasfield Company, Chengdu, China
2Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu, China
*Corresponding author. Email: songliang@tsinghua-eiri.org
Corresponding Author
Liang Song
Available Online 11 December 2023.
DOI
10.2991/978-94-6463-308-5_14How to use a DOI?
Keywords
Petrochemical enterprises; Data security risk; Data security protection strategy; Dimension of enterprise scenarios
Abstract

Amidst the era of big data, data is not only a crucial asset for countries and businesses but also a key driver for economic and social development as well as innovation in management mechanism. Any occurrence of data security issues can lead to significant losses for countries, enterprises, and individuals, resulting in substantial social impact. Therefore, it is highly important to conduct thorough research on data security protection strategies for petrochemical enterprises. This paper first analyzes the risks associated with data security under the backdrop of big data and proposes a framework for designing data security protection strategies based on the Data Security Capability Maturity Model. The framework consists of two main components: management framework design and technical framework design. This paper primarily focuses on studying the design of the technical framework. By conducting targeted risk analysis throughout the entire lifecycle of data including acquisition, transmission, storage, application, sharing, and destruction stages; it aims to align each identified risk with corresponding measures for ensuring data security protection. Additionally, this paper suggests protection strategies tailored to enterprise scenarios dimensions to provide robust security guarantees for petrochemical enterprise's valuable datasets.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)
Series
Atlantis Highlights in Engineering
Publication Date
11 December 2023
ISBN
978-94-6463-308-5
ISSN
2589-4943
DOI
10.2991/978-94-6463-308-5_14How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Aijiao Jing
AU  - Liang Song
AU  - Qi Chen
AU  - Xinbei Lv
AU  - Huanyu Zhou
PY  - 2023
DA  - 2023/12/11
TI  - On Data Security Protection Strategies for Petrochemical Enterprises amidst the Era of Big Data
BT  - Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)
PB  - Atlantis Press
SP  - 125
EP  - 143
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-308-5_14
DO  - 10.2991/978-94-6463-308-5_14
ID  - Jing2023
ER  -