Survey on anomaly detection technology based on logs
Log information has become an important information resource in the rapid development of information systems.Through the analysis of logs,abnormal detection,fault diagnosis and performance diagnosis can be performed.The log-based anomaly detection technology was focused on.Firstly,the currently used...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2020-12-01
|
| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020072 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841529990216155136 |
|---|---|
| author | Yingjun ZHANG Ushangqi LI Mu YANG Haixia ZHANG Kezhen HUANG |
| author_facet | Yingjun ZHANG Ushangqi LI Mu YANG Haixia ZHANG Kezhen HUANG |
| author_sort | Yingjun ZHANG |
| collection | DOAJ |
| description | Log information has become an important information resource in the rapid development of information systems.Through the analysis of logs,abnormal detection,fault diagnosis and performance diagnosis can be performed.The log-based anomaly detection technology was focused on.Firstly,the currently used log-based anomaly detection framework was introduced,and then the key link technologies such as log analysis and log anomaly detection were focused on.Finally,the current technology was summarized and suggestions for future research directions were given. |
| format | Article |
| id | doaj-art-9cee77d13455496481483d22a0f6db25 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2020-12-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-9cee77d13455496481483d22a0f6db252025-01-15T03:14:28ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2020-12-01611259561587Survey on anomaly detection technology based on logsYingjun ZHANGUshangqi LIMu YANGHaixia ZHANGKezhen HUANGLog information has become an important information resource in the rapid development of information systems.Through the analysis of logs,abnormal detection,fault diagnosis and performance diagnosis can be performed.The log-based anomaly detection technology was focused on.Firstly,the currently used log-based anomaly detection framework was introduced,and then the key link technologies such as log analysis and log anomaly detection were focused on.Finally,the current technology was summarized and suggestions for future research directions were given.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020072abnormal detectionlog analysismachine learning |
| spellingShingle | Yingjun ZHANG Ushangqi LI Mu YANG Haixia ZHANG Kezhen HUANG Survey on anomaly detection technology based on logs 网络与信息安全学报 abnormal detection log analysis machine learning |
| title | Survey on anomaly detection technology based on logs |
| title_full | Survey on anomaly detection technology based on logs |
| title_fullStr | Survey on anomaly detection technology based on logs |
| title_full_unstemmed | Survey on anomaly detection technology based on logs |
| title_short | Survey on anomaly detection technology based on logs |
| title_sort | survey on anomaly detection technology based on logs |
| topic | abnormal detection log analysis machine learning |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020072 |
| work_keys_str_mv | AT yingjunzhang surveyonanomalydetectiontechnologybasedonlogs AT ushangqili surveyonanomalydetectiontechnologybasedonlogs AT muyang surveyonanomalydetectiontechnologybasedonlogs AT haixiazhang surveyonanomalydetectiontechnologybasedonlogs AT kezhenhuang surveyonanomalydetectiontechnologybasedonlogs |