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7 December 2023 Research on anomaly detection based on network data
Kai Zhao
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Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129411K (2023) https://doi.org/10.1117/12.3011656
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China
Abstract
With the rapid development of network technology, network-based applications are becoming more and more diversified, and network security issues are becoming more and more significant. It is an urgent task to study methods to protect system security. Log system, as an important part of information system, can record all behaviors generated by the system, and most of the security risks in the system can be found by analyzing log system. To achieve the purpose of improving the system security performance. As an active network security protection measure, anomaly detection technology can detect abnormal behaviors and respond in time to effectively prevent abnormal behaviors and reduce the risk of system destruction. In this paper, public offline logs are used as data sources, common anomaly detection algorithms are studied, and effective information is obtained from massive log data to perceive the situation of network security.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Kai Zhao "Research on anomaly detection based on network data", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129411K (7 December 2023); https://doi.org/10.1117/12.3011656
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KEYWORDS
Network security
Detection and tracking algorithms
Computer security
Computer intrusion detection
Data mining
Data modeling
Clouds
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