Accession Number:

ADA599306

Title:

Open Source Software Tools for Anomaly Detection Analysis

Descriptive Note:

Final rept. for period ending Sep 2013

Corporate Author:

ARMY RESEARCH LAB ADELPHI MD COMPUTATIONAL AND INFORMATION SCIENCES DIRECTORATE

Personal Author(s):

Report Date:

2014-04-01

Pagination or Media Count:

22.0

Abstract:

The goal of this report is to perform an analysis of software tools that could be employed to perform basic research and development of Anomaly-Based Intrusion Detection Systems. The software tools reviewed include Environment for Developing KDD-Applications Supported by Index-Structures ELKI, RapidMiner, SHOGUN toolbox Waikato Environment for Knowledge Analysis Weka machine learning, and Scikit-learn. From the analysis, it is recommended to employ the SHOGUN toolbox or Scikit-learn as both tools are written in C and offers an interface for Python. The python language software is currently employed as a research tool within our in-house team of researchers.

Subject Categories:

  • Computer Programming and Software
  • Computer Systems Management and Standards

Distribution Statement:

APPROVED FOR PUBLIC RELEASE