International Journal of Advanced Network, Monitoring, and Controls | |
Review of Anomaly Detection Based on Log Analysis | |
article | |
Xudong Wu1  | |
[1] Laboratory of Wireless Network and Intelligent System Xi'an Technological University Xi'an | |
关键词: Log Analysis; Distributed; Big Data; Anomaly Detection; | |
DOI : 10.21307/ijanmc-2020-036 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Asociación Regional De Diálisis Y Trasplantes Renales | |
【 摘 要 】
The development of the Internet and the emergence of large-scale systems promote the rapid development of society, and bring a lot of convenience to people. Then comes the problem of network security, privacy theft, malicious attacks and other illegal acts still exist, a qualified software system will log the key operation behavior of the software. Therefore, log analysis has become an important means of anomaly detection. Based on log analysis, this paper consulted the related literature on anomaly detection, elaborated the research status of anomaly detection based on log analysis from the aspects of template matching, rule self-generation and outlier analysis, and analyzed the challenges faced by anomaly detection based on log analysis.
【 授权许可】
CC BY-NC-ND
【 预 览 】
Files | Size | Format | View |
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RO202307160003380ZK.pdf | 472KB | download |