Showing 9 open source projects for "python-kinterbasdb"

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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: 54 This Week
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  • 2
    Scripts and tools to manage your Server.
    Downloads: 1 This Week
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  • 3
    Nuhe is a log monitoring system, which is capable of alarm generation and action when rules are matched against log(s) activity.
    Downloads: 0 This Week
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  • 4
    py-rrdtool is a Python module provides an interface to RRDTool, the well known graphing/logging tool.
    Downloads: 1 This Week
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  • 5
    META is a decision making software which aims are to track computer attackers, computer attacks and to help investigators finding useful elements.
    Downloads: 0 This Week
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  • 6
    This project is an approach to automating the testing of performance properties of complex systems.Just like functional specs for software we aim to develop an executable language for asserting performance expectations of a program.This implements Sharon
    Downloads: 0 This Week
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  • 7
    A tool to visualize interactively huge amounts of eventdata. Uses an innovative hierarchical zoomlens scaling from quarters down to 50 ms.
    Downloads: 0 This Week
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  • 8
    Shadow Watcher is a Peer to Peer log sharing tool for the security analyst. Consider it a "community watch" program which allows you to keep your system secure from the threats on the internet and help others do the same.
    Downloads: 0 This Week
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  • 9
    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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