Literature Survey on Log-Based Anomaly Detection Framework in Cloud

被引：1
|
作者：
Meenakshi [1 ]
Ramachandra, A. C. [1 ]
Bhattacharya, Subhrajit [2 ]
机构：
[1] NitteMeenakshi Inst Technol, Bangalore 560064, Karnataka, India
[2] Career Launcher, Data Sci, Bangalore 560064, Karnataka, India
来源：
COMPUTATIONAL INTELLIGENCE IN PATTERN RECOGNITION, CIPR 2020 | 2020年 / 1120卷
关键词：
Cloud; Attack; Anomaly; Log; OpenStack;
D O I：
10.1007/978-981-15-2449-3_12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Log analysis is the term used for analysis of computer-generated records for helping organizations, businesses or networks in proactively and reactively mitigating different risks. The detailed survey of log-based anomaly detection in cloud has been presented here. Intention of this work is to provide the insight into how log data is useful in order to detect anomaly in cloud.
引用
收藏
页码：143 / 153
页数：11
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