Optical fiber communication network link data tampering detection based on big data analysis
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DOI: 10.25236/icceme.2024.037
Corresponding Author
Liangyu Wen
Abstract
With the development of modern network technology and the popularization of information technology, the amount of network data is increasing day by day, and the problem of traffic balance faced by domestic user terminal network construction is becoming more and more serious. And the bandwidth is greatly blocked. With the advantages of long relay distance, large capacity, wide frequency band and good anti-interference, optical fiber communication system with optical fiber as the transmission backbone came into being. Attacking data and programs by illegal means, such as infringement, tampering and stealing, leads to paralysis or offline of link data, which seriously affects normal data transmission and identification. At the same time, the continuous integration of microelectronics technology and mobile technology has led to unprecedented development in fiber optic communication technology. With the increasing amount of information exchange and data transmission in contemporary control measurement systems, data processing has become more complex, making real-time, accurate, and fast transmission of information a significant challenge. For optical cable line faults that occur, the specific location of the fault can be identified in a timely manner, reducing manual troubleshooting time, improving fault maintenance efficiency, reducing economic losses caused by optical cable faults, and ensuring the healthy and stable operation of the entire communication network.
Keywords
Big data; Optical fiber communication network; Data; Examine