Abstract
The detection of the user behavior characteristics is based on the network analysis technology. Through the analysis of the characteristics of user behavior, the network behavior of users is counted, and the characteristic database based on user behavior is established. The user behavior is compared with the characteristic database to predict whether the user behavior belongs to normal network behavior or abnormal network behavior. This detection method is relatively independent of the operating system and has strong universality. It can reflect the changes of the network environment and find the new abnormal behaviors of users.
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Acknowledgements
Supported by National Natural Science Foundation of China (61901447, 11905239).
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Li, M., Wang, Y., Zhou, C. (2021). A Behavior Predictive Control Mechanism Based on User Behavior Characteristics. In: Liang, Q., Wang, W., Liu, X., Na, Z., Li, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-15-8411-4_253
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DOI: https://doi.org/10.1007/978-981-15-8411-4_253
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Online ISBN: 978-981-15-8411-4
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