Showing 8 open source projects for "python::module"

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    AlienVault OSSIM

    AlienVault OSSIM

    Open Source SIEM

    OSSIM, AlienVault’s Open Source Security Information and Event Management (SIEM) product, provides event collection, normalization and correlation. For more advanced functionality, AlienVault Unified Security Management (USM) builds on OSSIM with these additional capabilities: * Log management * Advanced threat detection with a continuously updated library of pre-built correlation rules * Actionable threat intelligence updates from AlienVault Labs Security Research Team * Rich...
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    Downloads: 92 This Week
    Last Update:
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  • 2
    [ set status to abandon - volunteers welcome ] The postfix-logwatch / amavis-logwatch log analyzers produce summaries, reports and statistics regarding the operation of postfix and amavis. Use standalone, or as a filter module for the open source logwatch utility.
    Downloads: 8 This Week
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  • 3
    Scripts and tools to manage your Server.
    Downloads: 5 This Week
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  • 4
    ELFF::Parser is a perl module for parsing ELFF formatted log files.
    Downloads: 0 This Week
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  • 5
    Kojoney is an easy of use, secure, robust and powerfull Honeypot for the SSH Service written in Python. With the kojoney daemon are distributeds other tools such as kip2country (IP to Country) and kojreport, a tool to generate reports from the log fi
    Downloads: 0 This Week
    Last Update:
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  • 6
    FxStats is a log file anaylzer and statistics generator for first person shooters, using the Template Toolkit Perl module to generate output. It currently supports Medal of Honor: Allied Assault and Call of Duty.
    Downloads: 0 This Week
    Last Update:
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  • 7
    This module has been written to parse *Radius Accounting* detail files. I only have copies of those generated by the *Ascend* Radius server, so I don't know if it is compatible with other Radius versions.
    Downloads: 0 This Week
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  • 8
    This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.
    Downloads: 0 This Week
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