Brief Analysis for Network Security Issues in Mega-Projects Approved for Data Clusters

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Abstract

Network security is an important guarantee for Mega-projects approved for data clusters. It is necessary to comprehensively improve the network security awareness, monitoring, early warning, disposal and evaluation capabilities of Mega-projects approved for data clusters. It makes a comprehensive analysis on the network security issues in Mega-projects approved for data clusters from dimensions of computing facility security, network facility security, combination and scheduling security, network operation service security, data security, network situation awareness, etc. It is set up gradually evolving atomic power security capabilities for building a ubiquitous security network computing brain. It identifies data assets in an active and passive ways, sorts out data assets through in-depth scanning and information completion, supports the formation of preset templates according to AI (artificial intelligence) models, regular matching, keywords, combination rules, etc., classifies and grades data according to data sensitivity, and visually displays them in the form of charts. It forms a multi-layer architecture system that includes the collaborative scheduling of computing networks on the control side, the perception of network convergence on the data side, management and the scheduling of computing resources on the service side, realizes the interaction and supervision of the whole process, all elements and the whole industry chain of computing scheduling, has functions of security perception, monitoring, early warning, disposal and evaluation, and improves the security perception and linkage monitoring capability of cross data center and clusters. Gradually, it builds a coordinated threat handling capability.

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APA

Lan, S., & Huang, J. (2022). Brief Analysis for Network Security Issues in Mega-Projects Approved for Data Clusters. In Communications in Computer and Information Science (Vol. 1699 CCIS, pp. 38–50). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-8285-9_3

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