Research on system log anomaly detection based on deep learning
The system log reflects the running status of the system and records the activity information of specific events in the system.Therefore,the rapid and accurate detection of the system abnormal log is important to the security and stability of the system.A log anomaly detection algorithm based on GRU...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2019-10-01
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| 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.2019055 |
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| _version_ | 1841530069928902656 |
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| author | Yidong WANG Peishun LIU Gbin WAN |
| author_facet | Yidong WANG Peishun LIU Gbin WAN |
| author_sort | Yidong WANG |
| collection | DOAJ |
| description | The system log reflects the running status of the system and records the activity information of specific events in the system.Therefore,the rapid and accurate detection of the system abnormal log is important to the security and stability of the system.A log anomaly detection algorithm based on GRU neural network is proposed.Log parsing is implemented based on log key technology.Log anomaly detection is realized by using anomaly detection model of execution path and anomaly detection model of parameter value.The system has the advantages of less parameters and faster training.It improves the running speed while achieving higher detection accuracy,and is suitable for log analysis of large information systems. |
| format | Article |
| id | doaj-art-8e959a20ea094a8db80d8e99459fba8b |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2019-10-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-8e959a20ea094a8db80d8e99459fba8b2025-01-15T03:13:46ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2019-10-01510511859556774Research on system log anomaly detection based on deep learningYidong WANGPeishun LIUGbin WANThe system log reflects the running status of the system and records the activity information of specific events in the system.Therefore,the rapid and accurate detection of the system abnormal log is important to the security and stability of the system.A log anomaly detection algorithm based on GRU neural network is proposed.Log parsing is implemented based on log key technology.Log anomaly detection is realized by using anomaly detection model of execution path and anomaly detection model of parameter value.The system has the advantages of less parameters and faster training.It improves the running speed while achieving higher detection accuracy,and is suitable for log analysis of large information systems.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019055log anomaly detectiondeep learningGRU neural network |
| spellingShingle | Yidong WANG Peishun LIU Gbin WAN Research on system log anomaly detection based on deep learning 网络与信息安全学报 log anomaly detection deep learning GRU neural network |
| title | Research on system log anomaly detection based on deep learning |
| title_full | Research on system log anomaly detection based on deep learning |
| title_fullStr | Research on system log anomaly detection based on deep learning |
| title_full_unstemmed | Research on system log anomaly detection based on deep learning |
| title_short | Research on system log anomaly detection based on deep learning |
| title_sort | research on system log anomaly detection based on deep learning |
| topic | log anomaly detection deep learning GRU neural network |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019055 |
| work_keys_str_mv | AT yidongwang researchonsystemloganomalydetectionbasedondeeplearning AT peishunliu researchonsystemloganomalydetectionbasedondeeplearning AT gbinwan researchonsystemloganomalydetectionbasedondeeplearning |