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<p>Network security data monitoring and perception, through intelligent sensors, data collection systems and analysis software, can perceive the flow of various types of data in the network environment in real time, promptly identify potential security threats and abnormal behaviors, and provide an important guarantee for safeguarding national critical infrastructure, enterprise assets and citizens’ privacy. Against the backdrop of increasingly prominent global climate change and sustainable development issues, the development and utilization of low-carbon energy have become important strategies for countries to address environmental challenges. However, the public’s awareness and acceptance of low-carbon energy still need to be improved. To this end, this paper aims to explore an innovative process advertising design method that combines cybersecurity data monitoring and perception technology with low-carbon energy data. By leveraging intelligent sensors and Internet of Things (iot) technologies, data on low-carbon energy usage is collected and analyzed, including energy consumption, power generation efficiency, and its environmental impact. These data are then transformed into intuitive charts and graphs through data visualization techniques. In the study, an autoregressive model was adopted for time series predictive analysis. The Bayesian information criterion was utilized to determine the optimal model order, and the validity of the model was verified through simulation sampling experiments. The experimental results show that the advertising design based on low-carbon energy data monitoring significantly enhances the visual expressiveness of information, strengthens the audience’s understanding and attention to low-carbon energy, and also proves the key role of network security data monitoring and perception technology in data collection and analysis. By integrating the monitoring and perception of low-carbon energy data with image synthesis, process advertising design can not only effectively disseminate the significance of low-carbon energy but also promote public participation and support, providing new perspectives and methods for driving the transformation of the low-carbon economy.</p>

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Simulation of network security data monitoring perception and image synthesis in process advertising design

  • 期刊论文

  • 发表日期：

    2026年3月17日

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  • Xin Su

摘要

Network security data monitoring and perception, through intelligent sensors, data collection systems and analysis software, can perceive the flow of various types of data in the network environment in real time, promptly identify potential security threats and abnormal behaviors, and provide an important guarantee for safeguarding national critical infrastructure, enterprise assets and citizens’ privacy. Against the backdrop of increasingly prominent global climate change and sustainable development issues, the development and utilization of low-carbon energy have become important strategies for countries to address environmental challenges. However, the public’s awareness and acceptance of low-carbon energy still need to be improved. To this end, this paper aims to explore an innovative process advertising design method that combines cybersecurity data monitoring and perception technology with low-carbon energy data. By leveraging intelligent sensors and Internet of Things (iot) technologies, data on low-carbon energy usage is collected and analyzed, including energy consumption, power generation efficiency, and its environmental impact. These data are then transformed into intuitive charts and graphs through data visualization techniques. In the study, an autoregressive model was adopted for time series predictive analysis. The Bayesian information criterion was utilized to determine the optimal model order, and the validity of the model was verified through simulation sampling experiments. The experimental results show that the advertising design based on low-carbon energy data monitoring significantly enhances the visual expressiveness of information, strengthens the audience’s understanding and attention to low-carbon energy, and also proves the key role of network security data monitoring and perception technology in data collection and analysis. By integrating the monitoring and perception of low-carbon energy data with image synthesis, process advertising design can not only effectively disseminate the significance of low-carbon energy but also promote public participation and support, providing new perspectives and methods for driving the transformation of the low-carbon economy.