Application of Big Data Analysis and Cloud Computing Technology

Abstract

With the swift growth of computer science, technologies such as big data and artificial intelligence are widely used in various fields of modern society. The types of network equipment and the scope of network coverage have also increased rapidly. While the network brings convenience to people, more attention must be paid to the security of the network platform. The purpose is to safely and effectively manage the current rapidly growing Internet data and improve the ability to detect abnormal network behaviors. Combining big data technology and machine learning (ML), the application of big data analysis and cloud computing technology for network security are studied. Firstly, the data collection technology of abnormal network behavior is introduced, and the Flume data collection component and Kafka distributed technology are discussed. Secondly, the data processing process and corresponding algorithm processing of abnormal network behavior are analyzed, including ML framework and stream processing technology. Finally, the model of network abnormal behavior detection based on big data is constructed, and compared with the related model based on the decision tree and random forest (RF) algorithm, and verified by experiments. The verification results reveal that among the 42 attack types against the dataset, the detection accuracy of network abnormal behavior by big data is 96.4%, and the false positive rate is 2.23%, which is higher than that of decision tree and RF algorithm. This experimental study denotes that the network abnormal behavior detection technology of big data based on the ML framework can effectively improve the type and efficiency of network abnormal behavior detection, and has certain reference significance for improving network security management and control capabilities.

Research on application of big data in quality control of communication engineering products

“…Some scholars have proposed in their studies that, in the process of supplyside structural reform and development, with the continuous improvement of modern information technology, China's communication system equipment industry has a very broad development prospect, and the income of communication engineering production and manufacturing products will be increasingly high, which is expected to reach 2,198.6 billion yuan in 2026. [7][8][9][10][11] Based on the clear production and manufacturing status of communication engineering products and equipment, we should continue to discuss the problems arising from the quality control work of related products. Only in this way can we rationally use big data to optimize and innovate in the development of the industry.…”

Lifecycle Data Management of Nuclear Power Plant: Framework System and Development Suggestions

“…The lifecycle of nuclear power plants spans several decades and generates massive amounts of data. Because of the lack of unified planning and management for huge and complex data, it is difficult to increase the data utilization rate and fully exploit the value of data [2].…”