A Simulation Study on Network Information Security Authentication Based on Big Data Technology

In the process of information generation, transmission, and storage on the internet, it is often confronted with the threats of network service attacks, network virus propagation, data theft, and other malicious behaviors. To enhance the reliability and accuracy of network information security authentication, this paper proposes a simulation model of network information security authentication based on big data technology. Furthermore, the Fourier transform algorithm is embedded in the network information watermarking to achieve efficient and precise information security authentication. Finally, experiments verify that the proposed method in this paper performs excellently in network information security authentication, featuring short authentication time and good authentication effect, which can provide strong support for network security decision-making. It is expected that through this research, the authentication capability and tamper-proof ability of network information can be strengthened, ensuring the integrity and authenticity of information, thereby enhancing the level of network information security and promoting the healthy development of big data technology.