Search Results for "c-support.vim"

IPAC-NG is the iptables/ipchains based IP accounting package for Linux. It collects, summarizes, and nicely displays IP accounting data. Ipchains and (preferably) iptables are supported. Logs are stored in files, a gdbm or a PostgreSQL database.

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...

IP2Location C library enables the user to find the country, region, city, coordinates, zip code, time zone, ISP, domain name, connection type, area code, weather, MCC, MNC, mobile brand name, elevation and usage type that any IP address or hostname originates from. It has been optimized for speed and memory utilization. Developers can use the API to query all IP2Location™ binary databases for applications written in C or supporting static/dynamic library.

Scripts and tools to manage your Server.

System for Web usage mining and data warehouse: it allows the discovery of knowledge from data (KDD) regarding users' usage on the Web (such as unique visitors, sessions, transactions) and organise it in a RDBMS (currently PostgreSQL). Written in C++.

PERL script and required environment to easily use the Afterglow software (http://afterglow.sourceforge.net/ Copyright (c) 2006 Raffael Marty) by listing the packet captures to visualize or by specifying a directory that contains the packet captures.

Skavenger analyzes HTTP traffic logged by various Web proxies (including WebScarab and Burp) for indications of common web vulnerabilities such as XSS, CRLF injection and various kinds of information disclosure.

Comprehensive & high performance data distribution &transformation system. Features a simple, user-friendly event driven scripting interface transparently generates & execs highly efficient Perl/C code. Uses:ETL,datawarehousing,statistics,data-cleansing.

Система учета трафика.

A group of tools to analyze logfiles for qmail, tinydns, dnscache, rbldns, axfrdns and publicfile.

FreeBSD Forensics Bootable ISO

Green Screen: A Linux based Advanced Syslog Server for Juniper NetScreen Firewalls - Can be expanded later to support other products. It can capture syslog messages, parse them, store them in a MySQL database. A Web GUI interface is also included.

The Big Brother Log Analyzer (BBLA) is a package consisting of an HTTP logger and of a log analyzer. It provides a lightweight and free solution (with no banners!) for individual users and/or systems administrators willing to track their audience.

Ztats is a overall info tool for an Halflife server. (it may expand to other server types in the future). it's intended for wesite admins/game admins who want to include all sorts of server info in their site. main features : - live server monitor

Shoki is a free, open source network intrusion detection system. The fundamental design goals are simplicity and modularity, and the focus is on traffic analysis rather than content inspection.

Remote analyse of servers. OS for Servers: 1st Step: UX (primary linux) Analysing Logfiles (syslog, every other logfile, free customize) Analysing Quotas, Free Space, Processes, Connected Users Central Server for collecting this Information and Displ

A Tool used in conjunction with glftpd to dynamically create reports on users groups. And Allow the user to access those reports through the web, irc, and glftpd itself

FAST library for storing and displaying various types of statistics. Rock stable and robust and well-designed image output.

ipac is an ip accounting package for linux. It collects, summarizes and nicly displays ip accounting data. The output of ipac can be a simple ascii table or graph images.

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.