# 基于LSTM神经网络模型的日志异常检测
主要基于Deeplog实现
- DeepLog - Anomaly Detection and Diagnosis from System Logs through Deep Learning
(部分paper来源于知网，请尊重版权~)
基于LSTM神经网络模型的日志异常检测项目源码，主要基于Deeplog实现
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2023-11-13
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基于LSTM神经网络模型的日志异常检测项目源码，主要基于Deeplog实现 （115个子文件） 
基于深度学习的网络流量分类及异常检测方法研究_王伟.caj 7.83MB 基于日志的网络故障检测算法研究_陈仁爱.caj 5.05MB 一种基于机器学习技术的日志记录语句级别推荐方法的研究_薛冰冰.caj 4.76MB 基于海量日志的服务器故障分析技术研究_龚立航.caj 3.33MB 基于深度学习的网络异常行为检测_魏华强.caj 3.1MB 基于主机日志的入侵检测研究与实现_黄自力.caj 1.59MB 基于日志的异常检测研究_时熙然.caj 807KB HDFS_100k.log_structured.csv 19.82MB anomaly_label.csv 17.23MB data_instances.csv 880KB train_structured.csv 194KB test_structured.csv 194KB test_Content.csv 68KB train_Content.csv 68KB train_param.csv 49KB test_param.csv 49KB test_param_num.csv 15KB train_param_num.csv 15KB execute_path_anormal.csv 6KB para_anormal.csv 343B hdfs_test_abnormal 748KB hdfs_test_normal 27.4MB hdfs_train 247KB SSH.log 69.39MB Linux.log 2.24MB Linux_2k.log 209KB train.log 103KB test.log 21KB test.log 139B train.log 94B README.md 213B README.md 172B train_13.npy 7KB train_5.npy 5KB train_0.npy 4KB train_6.npy 1KB train_1.npy 936B train_4.npy 928B train_2.npy 928B train_11.npy 368B train_3.npy 328B train_18.npy 320B train_12.npy 312B train_8.npy 224B train_19.npy 192B train_16.npy 160B train_9.npy 152B train_17.npy 136B train_7.npy 136B train_14.npy 136B train_15.npy 136B train_10.npy 136B
deeplog_charles.pdf 4.83MB deepLog_slides.pdf 3.28MB Predicting Security Events Through Deep Learning.pdf 2.29MB 基于深度学习的系统日志异常检测研究.pdf 2.24MB 基于CNN和LSTM深度网络的伪装用户入侵检测.pdf 2.13MB DeepLog- Anomaly Detection and Diagnosis from System Logs through Deep Learning.pdf 1.85MB A User-Friendly Log Viewer for Storage Systems.pdf 1.84MB DeepLog - Anomaly Detection and Diagnosis from System Logs through Deep Learning.pdf 1.79MB nistspecialpublication800-92.pdf 1.68MB 基于深度学习的实时网络入侵检测方法_朱平哲.pdf 1.56MB 基于切片GRU的日志异常检测研究_王易东.pdf 1.47MB Detecting Structurally Anomalous Logins Within Enterprise.pdf 1.43MB RiskTeller - Predicting the Risk of Cyber Incidents.pdf 1.32MB 一种基于日志信息和CNN_text的软件系统异常检测方法_梅御东.pdf 1.26MB Mining Invariants from Console Logs for System Problem.pdf 990KB Cyber Attack Prediction of Threats from Unconventional Resources.pdf 952KB 日志文件异常检测方法和装置.pdf 859KB Experience Report- System Log Analysis for Anomaly Detection.pdf 821KB slhe_issre2016.pdf 813KB An Empirical Study of User Log Mining.pdf 749KB 系统日志模板提取方法研究_刘洪歧.pdf 644KB four-easy-ways-central-logging-improves-security-posture.pdf 600KB 基于深度学习的日志异常检测方法、装置、终端及介质.pdf 586KB Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection.pdf 582KB 基于归一化特征判别的日志模板挖掘算法_双锴.pdf 493KB 基于异卷积神经网络的入侵检测_李荷婷.pdf 427KB Detecting Large-Scale System Problems by Mining Console Logs.pdf 391KB 一种自动化日志异常检测方法及系统.pdf 342KB Fingerprinting the datacenter：automated classification of performance crises.pdf 306KB An Evaluation Study on Log Parsing and Its Use in.pdf 298KB Spell Streaming Parsing of System Event Logs.pdf 292KB Failure Prediction in IBM BlueGeneL Event Logs.pdf 259KB Mining Console Logs for Large-Scale System Problem Detection.pdf 143KB test.pickle 341B 13.pkl 1.42MB 5.pkl 1.42MB 4.pkl 1.4MB 6.pkl 1.4MB 11.pkl 1.4MB 0.pkl 1.4MB 2.pkl 1.4MB 12.pkl 1.4MB 3.pkl 1.4MB 1.pkl 1.4MB model.pkl 166KB spell.pkl 5KB
demo.png 85KB param_value_detect.py 13KB共 115 条
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scj3452024-05-14感谢资源主分享的资源解决了我当下的问题，非常有用的资源。- LYCimba2024-05-31这个资源内容超赞，对我来说很有价值，很实用，感谢大佬分享~
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