Abstract
Network security is not only related to personal information security, but also to the information security of the whole country. The application of big data technology in network security analysis can not only maximize the data acquisition, storage and analysis capabilities of the network system itself, but also further reduce the storage cost of the network information itself, and provide an important security guarantee for data retrieval and traceability. In this paper, a new idea of network security situational awareness model is proposed, and an effective network security situational awareness model is found from the perspective of network data traffic characteristics. The experimental results show that the machine learning and data mining algorithm in this paper has high accuracy and timeliness in processing large data. This provides a new way of thinking for the research and processing of new problems brought by big data.
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He, J., He, Y. (2020). Research on Computer Network Information Security and Protection Countermeasure in Big Data Era. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_217
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DOI: https://doi.org/10.1007/978-981-15-1468-5_217
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Online ISBN: 978-981-15-1468-5
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