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Description:
logdag 0.1.1
Overview
This package generates causal DAGs among time-series events in syslog data.
This package works on python3.
The input log data is loaded with AMULOG (https://github.com/cpflat/amulog).
The output DAG is recorded in the format of NetworkX DiGraph.
This project was partially forked from repository LogCausalAnaysis.
(https://github.com/cpflat/LogCausalAnalysis)
Usage
All features are available from command line. First you should try following help command python -m logdag -h.
short usage:
Generate amulog database (and its config) as the input log time-series source
Prepare logdag config file by referring logdag/data/config.conf.default
Generate time-series db by logdag.source features
Generate DAGs by subcommand makedag
See results by commands such as show-edge-list
Reference
This project is evaluated in some papers CNSM2019 and TNSM2018.
If you use this code, please consider citing:
@inproceedings{Kobayashi_CNSM2019,
author = {Kobayashi, Satoru and Otomo, Kazuki and Fukuda, Kensuke},
booktitle = {Proceedings of the 15th International Conference on Network and Service Management (CNSM'20)},
title = {Causal analysis of network logs with layered protocols and topology knowledge},
pages = {1-9},
year = {2019}
}
@article{Kobayashi_TNSM2018,
author = {Kobayashi, Satoru and Otomo, Kazuki and Fukuda, Kensuke and Esaki, Hiroshi},
journal = {IEEE Transactions on Network and Service Management},
volume = {15},
number = {1},
pages = {53-67},
title = {Mining causes of network events in log data with causal inference},
year = {2018}
}
License
3-Clause BSD license
Author
Satoru Kobayashi
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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