Author(s)

Jingjing Cheng ¹, Lingzhi Liu ²

Affiliation(s)

¹ Rattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin, Nakhon Pathom, 73101, Thailand
² Guiyang Institute of Humanities and Technology, Guiyang, Guizhou, China

Corresponding Author

Jingjing Cheng

ABSTRACT

Facing the increasingly fierce market competition and the impact of the global financial crisis, the development of the ice and snow sports tourism industry is facing major challenges. The reconstruction of the tourism industry has become an urgent problem in the field of tourism research. In order to explore how to apply data security technology and artificial intelligence technology to the system construction and ice and snow tourism industry, this article uses data collection methods, data aggregation methods, and parameter comparison methods to conduct large-scale scientific analysis of data security technologies and create a most effective industrial cluster platform. First study the role of big data security technology. During the 600 rounds of data-free simulation on the trading platform, two different evaluation methods were used to distinguish the trading results of the same data trading event. The results show that among 600 rounds of transaction events and rating results, 530 ratings are the same, 70 have similarities and differences, and the effective rate is 88.3%, indicating that the security technology in this area is effective and can support the transmission of information on the network platform. After the training of the intelligent algorithm, we can see that the detection efficiency of the algorithm on this platform has increased from 0.114 to 0.241, and the detection time has also been reduced from 33ms to less than 2.1ms, which shows that more and faster resources in the industry can be searched. Starting from the technical understanding of big data security and artificial intelligence, it ends with the construction of a good-performance industrial cluster model.

KEYWORDS

Big Data Security, Artificial Intelligence Technology, Ice and Snow Sports Tourism, Industrial Clusters, Industrial Structure

CITE THIS PAPER

Jingjing Cheng, Lingzhi Liu, Public Management Construction of Ice and Snow Sports Tourism Industrial Cluster Based on Big Data Security and Artificial Intelligence. Industrial Engineering and Innovation Management (2024) Vol. 7: 78-87. DOI: http://dx.doi.org/10.23977/ieim.2024.070409.

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