How to Install and Uninstall logdata-anomaly-miner Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 09,2024

1. Install "logdata-anomaly-miner" package

Please follow the instructions below to install logdata-anomaly-miner on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                logdata-anomaly-miner
            
                    
    
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2. Uninstall "logdata-anomaly-miner" package

Please follow the step by step instructions below to uninstall logdata-anomaly-miner on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                logdata-anomaly-miner
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the logdata-anomaly-miner package on Ubuntu 21.10 (Impish Indri)

Package: logdata-anomaly-miner
Architecture: all
Version: 2.2.2-1
Priority: extra
Section: universe/misc
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Markus Wurzenberger
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1710
Depends: python3:any, python3-tz, python3-cerberus, python3-pkg-resources, python3-setuptools
Suggests: python3-scipy
Filename: pool/universe/l/logdata-anomaly-miner/logdata-anomaly-miner_2.2.2-1_all.deb
Size: 573892
MD5sum: 16bf808bf048cd6ff29f3f2d60357bbe
SHA1: e1ce7931059e86017667fb5e06cf1af847912914
SHA256: 18e2a28aa68e3fd842a717bcf82ae2a665d754d075882f16bca2d8191dd2b76b
SHA512: 594975444cf3c0e8565a4047728b9377fbf69d7f6ea0915f490d133628e36f0642f5448298fb5f47fa66e0eb3ec1f2bef7070f3ca67c5421d96f6002fe1c3c53
Homepage: https://aecid.ait.ac.at/
Description-en: tool for log analysis pipelines
This tool allows one to analyze log data streams and detect violations or
anomalies in it. It can be run from console, as daemon with e-mail alerting,
or embedded as library into own programs. It was designed to run the analysis
with limited resources and lowest possible permissions to make it suitable for
production server use. Analysis methods include:
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* log line parsing and filtering with extended syntax and options
* detection of new data elements (IPs, user names, MAC addresses)
* statistical anomalies in log line values and frequencies
* correlation rules between log lines
.
The tool is suitable to operate as a sensor feeding a SIEM and distributing
messages via message queues.
Description-md5: 7d2484cdf8710ff1b6701a7fb1bf92e5