Difference between pages "Linux" and "Tools:Visualization"

From ForensicsWiki
(Difference between pages)
Jump to: navigation, search
 
m (JavaScript)
 
Line 1: Line 1:
== Overview  ==
+
Although not strictly for forensic purposes, '''visualization tools''' such as the ones discussed here can be very useful for visualizing large data sets. As forensic practitioners need to process more and more data, it is likely that some of the techniques implemented by these tools will need to be adopted.
+
  
Although fairly new in the PDA market, Linux is slowly becoming a prominent player in specialized mobile devices. As an alternative to the recently deceast Palm OS, and Microsoft's Windows Mobile, companies are picking up Linux because it's open source(a lot of possibilities), powerful, and inexpensive.
+
==Programming Languages and Developer Toolkits==
 +
If you are building forensic tools, you probably want to start with one of these:
 +
; Java and Swing
 +
: Advantage: Portable and lots of good documentation out there.
 +
: Disadvantage: Programs are a bit verbose, and only offers about 1/2 the performance of C
  
Many US PDA's do not natively support Linux. Usually Linux is installed next to the PDA's main OS through exploits or hacks. Japan, however, has begun to embrace Linux in their PDA products. Sharp's Zaurus line of PDA's exclusively uses Linux as its primary OS.
+
; Python with tkinter
 +
: Advantage: Portable
 +
: Disadvantage: Python is one of the slowest modern languages around.
 +
 
 +
; Python with wxWidgets
 +
: Advantage: Portable and a better development environment than tkiner
 +
: Disadvantage: wxWidgets is not installed by default, so you'll need to get it installed. Not as well documented as Tkinter
 +
 
 +
; [http://www.pyside.org Python with Qt (PySide)]
 +
: Advantage: Portable and a better development environment than tkiner or wxWidgets
 +
: Disadvantage: Though not difficult, PySide has to be installed separately
 +
 
 +
; [http://processing.org processing.org]
 +
: Advantage: Programming language specifically developed for visualization; compiles to java byte code
 +
: Disadvantage: Very oddball
 +
 
 +
; JavaFX - Java's version of Flash
 +
 
 +
; Flash
 +
 
 +
Or you could try one of these higher-level toolkits:
 +
 
 +
; Crystal Space 3D
 +
 
 +
; Panda#D
 +
 
 +
== Applications ==
 +
Most of these are scriptable.
 +
===Open Source===
 +
====Data Plotting====
 +
* http://ploticus.sourceforge.net
 +
* http://www.gnuplot.info/
 +
* [http://www.opendx.org/ OpenDX] - Based on [[IBM]]'s Visualization Data Explorer for 3D, runs on [[Unix]]/X11/Motif. (2007)
 +
* http://tulip.labri.fr/TulipDrupal/
 +
* http://highcharts.com/
 +
* matplotlib
 +
 
 +
====Graph and (Social) Network Visualization====
 +
* [http://code.google.com/p/boomslang/ Boomslang] --- A thin layer of python over matplotlib that makes it easier to do common plots.
 +
* [http://www.cytoscape.org/ Cytoscape] - Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data.
 +
* [http://www.graphviz.org/ Graphviz] - Originally developed by the [http://public.research.att.com/areas/visualization/ AT&T Information Visualization Gorup], designed for drawing connected graphs of nodes and edges. Neato is a similar system but does layout based on a spring model. Can produce output as [[PostScript]], [[PNG]], [[GIF]], or as an annotated graph file with the locations of all of the objects — ideal for drawing in a GUI. Runs from the command line on [[Unix]], [[Windows]] and [[Mac]], although there is also a [http://www.pixelglow.com/graphviz/ MacOS GUI version].
 +
* [http://www.codeplex.com/nodexl NodeXL] - Free/open excel add-in extends the spreadsheet with network metrics and visualizations. (Only runs on Windows)
 +
* [http://gephi.org/ Gephi] -Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs
 +
* http://graphstream-project.org/
 +
* http://projects.skewed.de/graph-tool/ - graph-tool is an efficient python module for manipulation and statistical analysis of graphs (a.k.a. networks).
 +
* http://igraph.sourceforge.net/
 +
* http://nwb.cns.iu.edu/ - NetworkWorkbench, a workbench for network scientists.
 +
* http://socnetv.sourceforge.net/ - "Social Networks Visualizer (SocNetV) is a flexible and user-friendly tool for the analysis and visualization of Social Networks."
 +
* [http://jung.sourceforge.net/ Java Universal Network/Graph Framework (JUNG)] - Graphing, [[data mining]], [[social network]] analysis, and other stuff.
 +
* [http://bioinformatics.icmb.utexas.edu/lgl/ Large Graph Layout (LGL)] - A bioinformatics system from University of Texas. They really mean Large.
 +
* [http://www.analytictech.com/netdraw/netdraw.htm NetDraw] - "a free program written by Steve Borgatti for visualizing both 1-mode and 2-mode social network data."
 +
* [http://pajek.imfm.si/doku.php Pajek] - Windows program for drawing large networks.
 +
* [http://sourceforge.net/projects/sonia/ Social Network Image Animator (SoNIA)] - Originally developed at Stanford. Written in Java. Makes movies.
 +
* [http://wilma.sourceforge.net/ WilmaScope] - Real-time animations of dynamic graph structures. Written in Java. Sophisticated force model with strings and attraction.
 +
* [http://www.caida.org/tools/visualization/walrus/ Walrus] - A 3-d graph network exploration tool. Employs 3D hyperbolic displays and layout based on a user-supplied spanning tree.
 +
* [http://afterglow.sf.net AfterGlow] - A tool to simplify the generation of network graphs in GraphViz, Gephi, etc.
 +
* http://tulip.labri.fr/TulipDrupal/ - Tulip is an information visualization framework dedicated to the analysis and visualization of relational data.
 +
 
 +
See also: http://en.wikipedia.org/wiki/Social_network_analysis_software
 +
 
 +
====Abandoned Social network Graphers====
 +
(Abandoned means that it hasn't been updated since 2009)
 +
* [http://graphexploration.cond.org/ Guess: The Graph Exploration System] - Originally developed at HP, this is a large Jython/Java-based system that you can use for building your own applications. Distributed under GPL. (2007)
 +
* [http://sourceforge.net/projects/ivc/ InfoVis Cyberinfrastructure] - Another graph drawing system written in Java. (2009)
 +
* [http://www.andrew.cmu.edu/user/krack/krackplot.shtml Krackplot] - "KrackPlot is a program for network visualization designed for social network analysts." (2006; Windows only; no source, apparently)
 +
* [http://www.sfu.ca/~richards/Multinet/Pages/multinet.htm MultiNet] - A data analysis package for drawing conventional data and graph data.  (2007)
 +
* [http://developer.berlios.de/projects/nv2d/ NetVis 2D] - Another graph visualization and layout tool written in Java. (2005)
 +
* [http://www.informatik.uni-bremen.de/uDrawGraph/en/uDrawGraph/uDrawGraph.html uDrawGraph]
 +
* [http://ubietylab.net/ubigraph/ Ubigraph] - a tool for visualizing dynamic graphs. The basic version is free, and talks to Python, Ruby, PHP, Java, C, C++, C#, Haskell, and OCaml.  (2008)
 +
* http://www.paterva.com/web5/
 +
 
 +
====Computer Network Visualization====
 +
* [http://tnv.sourceforge.net/ The Network Visualizer]
 +
 
 +
=== Commercial Graphic Applications and Tools===
 +
 
 +
* [http://www.aisee.com/ aiSee Graph Layout Software] - Supports 15 layout algorithms, recursive graph nesting, and easy printing. Runs on [[Windows]], [[Linux]], [[Solaris]], [[NetBSD]], and [[MacOS]]. 30-day trial and free registered versions available. Academic pricing available.
 +
*  [http://www.geomantics.com/ Geomantics] - Geographical, Visualization and Graphics software. Runs on [[Windows]].
 +
* [http://www.kylebank.com/ Graphis 2D and 3D graphing software] - Runs on [[Windows]]. Free 30-day evaluation copy available.
 +
* [http://www.openviz.com/ OpenViz] and  [http://www.powerviz.com/ PowerViz] - Both from Advanced Visual Systems, super high-end visualization toolkits. $$$$
 +
* [http://www.tomsawyer.com/ Tom Sawyer Software] Analysis, Visualizaiton, and Layout programs. - Heavy support for drawing graphs. Beautiful gallery. ActiveX, Java, C++ and .NET editions.
 +
* [http://www.netminer.com/ NetMiner] - A comprehensive tool for Social Network Analysis. Runs on Windows, with a Linux version under development. $35 for "Express" student version, $250 for "Professional" student version, $950 for "Normal" "Professional" version.
 +
* [http://www.analytictech.com/ucinet.htm UCINET] - A comprehensive package for the analysis of social network data as well as other 1-mode and 2-mode data.
 +
* [http://www.clarifiednetworks.com/logster Logster] - an ultra-easy software tool to visualize Apache-style logs on a world map.
 +
* [http://www.clarifiednetworks.com/Clarified%20Analyzer Clarified Analyzer] - Visualizes Network Traffic and allows to drill down from visualizations to the packet level.
 +
 
 +
== Visualization Toolkits and Libraries ==
 +
===C/C++===
 +
* [http://public.kitware.com/VTK/ The Visualization Toolkit] - C++ multi-platform with interfaces available for Tcl/Tk, Java and Python. Professional support provided by [http://www.kitware.com/ Kitware].
 +
* [http://kdirstat.sourceforge.net/ KDirStat], an open source implementation of [http://www.cs.umd.edu/hcil/treemap-history/index.shtml Treemaps] written in C. (Treemaps are a visualization technique developed at the University of Maryland for visualizing large amounts of multi-dimensional data.)  You can find a copy of it in [http://www.derlien.com/ Disk Inventory X] and
 +
===Java===
 +
* [http://csbi.sourceforge.net/index.html Graph Interface Library (GINY)] - Java
 +
* [http://hypergraph.sourceforge.net/ HyperGraph] - Hyperbolic trees, in Java. Check out the home page. Try clicking on the logo...
 +
* [http://ivtk.sourceforge.net/ InfoViz Toolkit] - Java, originally developed at [[INRA]].
 +
* [https://jdigraph.dev.java.net/ Jdigrah] - Java Directed Graphs.
 +
* [http://jgrapht.sourceforge.net/ JGraphT] - A Java visualization kit designed to be simple and extensible.
 +
* [http://prefuse.sourceforge.net/ Perfuse] - A Java-based toolkit for building interactive information visualization applications
 +
* [http://www.ssec.wisc.edu/~billh/visad.html#intro VisAD] - A Java component library for interactive and collaborative visualization.
 +
* [http://www.softwaresecretweapons.com/jspwiki/Wiki.jsp?page=LinguineMaps Linguine Maps] - An open-source Java-based system for visualizing software call maps.
 +
* [http://zvtm.sourceforge.net/index.html Zoomable Visual Transformation Machine] - Java. Originally started at Xerox Research Europe.
 +
* [http://openmap.bbn.com/ OpenMap] A Java-based Geographical Information System framework, from [[BBN]].
 +
===JavaScript===
 +
* [http://mbostock.github.com/d3/ D3 - Data Driven Documents] - A visualization library for the Web.
 +
===Python===
 +
* [http://networkx.lanl.gov/ NetworkX], a pure Python network layout program which uses matplotlib to do the actual graphing.
 +
 
 +
===Unclassified===
 +
* [http://gravisto.fim.uni-passau.de/ Gravisto: Graph Visualization Toolkit] - An editor and toolkit for developing graph visualization algorithms.
 +
* [http://www.gnu.frb.br:8080/rox Rox Graph Theory Framework] - An open-source plug-in framework for graph theory visualization.
 +
* [http://touchgraph.sourceforge.net/ TouchGraph] - Library for building graph-based interfaces.
 +
 
 +
==Journals and Conferences==
 +
* [http://www.palgrave-journals.com/ivs/index.html Information Visualization Journal]
 +
* [http://rw4.cs.uni-sb.de/~diehl/softvis/seminar/index.php?goto=seminar ACM Symposium on Software Visualization]
 +
==Research Groups==
 +
===Berkeley===
 +
* [http://bailando.sims.berkeley.edu/infovis.html Bailando Visualization]
 +
* [http://vis.berkeley.edu/ Berkeley Visualization Lab]
 +
===Brown===
 +
* [http://www.cs.brown.edu/people/rt/gd.html Roberto Tamassia's resources on Graph Drawing]
 +
===Stanford===
 +
* [http://window.stanford.edu/projects/rivet/ Rivet Project] (Visualization complex systems)
 +
===UNM===
 +
* [http://www.msi.umn.edu/user_support/scivis/scivis-list.html Scientific Visualization at the Supercomputing Institute]
 +
===Wattenberg===
 +
* [http://www.bewitched.com/ Bewitched], a one-man research group.
 +
==See Also==
 +
* [http://www-static.cc.gatech.edu/gvu/ii/resources/infovis.html GVU's Information Visualization Resources link farm]
 +
* [http://directory.google.com/Top/Science/Math/Combinatorics/Software/Graph_Drawing/ Google Directory of Graph Drawing Software]
 +
* [http://directory.fsf.org/science/visual/ GNU Free Software directory of scientific visualization software]
 +
* [http://www.manageability.org/blog/stuff/open-source-graph-network-visualization-in-java/view Open Source Graph Network Visualization in Java]
 +
* [http://www.insna.org/INSNA/soft_inf.html INSNA's web page of Computer Programs for Social Network Analysis]
 +
* http://www.dmoz.org/Science/Math/Combinatorics/Software/Graph_Drawing/
 +
* http://www.ontopia.net/omnigator/models/index.jsp
 +
* http://visant.bu.edu/
 +
* http://sourceforge.net/projects/touchgraph/
 +
* [http://www.informatik.uni-rostock.de/~ct/ Christian Tominski]
 +
 
 +
CAIDA has 15+ years of work visualizing Internet topologies. You may find their tools to be useful:
 +
* http://www.caida.org/tools/visualization/
 +
* http://www.caida.org/publications/visualizations/
 +
* http://www.caida.org/tools/visualization/walrus/gallery1/
 +
* http://www.caida.org/research/topology/as_core_network/

Revision as of 00:57, 10 November 2011

Although not strictly for forensic purposes, visualization tools such as the ones discussed here can be very useful for visualizing large data sets. As forensic practitioners need to process more and more data, it is likely that some of the techniques implemented by these tools will need to be adopted.

Programming Languages and Developer Toolkits

If you are building forensic tools, you probably want to start with one of these:

Java and Swing
Advantage: Portable and lots of good documentation out there.
Disadvantage: Programs are a bit verbose, and only offers about 1/2 the performance of C
Python with tkinter
Advantage: Portable
Disadvantage: Python is one of the slowest modern languages around.
Python with wxWidgets
Advantage: Portable and a better development environment than tkiner
Disadvantage: wxWidgets is not installed by default, so you'll need to get it installed. Not as well documented as Tkinter
Python with Qt (PySide)
Advantage: Portable and a better development environment than tkiner or wxWidgets
Disadvantage: Though not difficult, PySide has to be installed separately
processing.org
Advantage: Programming language specifically developed for visualization; compiles to java byte code
Disadvantage: Very oddball
JavaFX - Java's version of Flash
Flash

Or you could try one of these higher-level toolkits:

Crystal Space 3D
Panda#D

Applications

Most of these are scriptable.

Open Source

Data Plotting

Graph and (Social) Network Visualization

  • Boomslang --- A thin layer of python over matplotlib that makes it easier to do common plots.
  • Cytoscape - Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data.
  • Graphviz - Originally developed by the AT&T Information Visualization Gorup, designed for drawing connected graphs of nodes and edges. Neato is a similar system but does layout based on a spring model. Can produce output as PostScript, PNG, GIF, or as an annotated graph file with the locations of all of the objects — ideal for drawing in a GUI. Runs from the command line on Unix, Windows and Mac, although there is also a MacOS GUI version.
  • NodeXL - Free/open excel add-in extends the spreadsheet with network metrics and visualizations. (Only runs on Windows)
  • Gephi -Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs
  • http://graphstream-project.org/
  • http://projects.skewed.de/graph-tool/ - graph-tool is an efficient python module for manipulation and statistical analysis of graphs (a.k.a. networks).
  • http://igraph.sourceforge.net/
  • http://nwb.cns.iu.edu/ - NetworkWorkbench, a workbench for network scientists.
  • http://socnetv.sourceforge.net/ - "Social Networks Visualizer (SocNetV) is a flexible and user-friendly tool for the analysis and visualization of Social Networks."
  • Java Universal Network/Graph Framework (JUNG) - Graphing, data mining, social network analysis, and other stuff.
  • Large Graph Layout (LGL) - A bioinformatics system from University of Texas. They really mean Large.
  • NetDraw - "a free program written by Steve Borgatti for visualizing both 1-mode and 2-mode social network data."
  • Pajek - Windows program for drawing large networks.
  • Social Network Image Animator (SoNIA) - Originally developed at Stanford. Written in Java. Makes movies.
  • WilmaScope - Real-time animations of dynamic graph structures. Written in Java. Sophisticated force model with strings and attraction.
  • Walrus - A 3-d graph network exploration tool. Employs 3D hyperbolic displays and layout based on a user-supplied spanning tree.
  • AfterGlow - A tool to simplify the generation of network graphs in GraphViz, Gephi, etc.
  • http://tulip.labri.fr/TulipDrupal/ - Tulip is an information visualization framework dedicated to the analysis and visualization of relational data.

See also: http://en.wikipedia.org/wiki/Social_network_analysis_software

Abandoned Social network Graphers

(Abandoned means that it hasn't been updated since 2009)

  • Guess: The Graph Exploration System - Originally developed at HP, this is a large Jython/Java-based system that you can use for building your own applications. Distributed under GPL. (2007)
  • InfoVis Cyberinfrastructure - Another graph drawing system written in Java. (2009)
  • Krackplot - "KrackPlot is a program for network visualization designed for social network analysts." (2006; Windows only; no source, apparently)
  • MultiNet - A data analysis package for drawing conventional data and graph data. (2007)
  • NetVis 2D - Another graph visualization and layout tool written in Java. (2005)
  • uDrawGraph
  • Ubigraph - a tool for visualizing dynamic graphs. The basic version is free, and talks to Python, Ruby, PHP, Java, C, C++, C#, Haskell, and OCaml. (2008)
  • http://www.paterva.com/web5/

Computer Network Visualization

Commercial Graphic Applications and Tools

  • aiSee Graph Layout Software - Supports 15 layout algorithms, recursive graph nesting, and easy printing. Runs on Windows, Linux, Solaris, NetBSD, and MacOS. 30-day trial and free registered versions available. Academic pricing available.
  • Geomantics - Geographical, Visualization and Graphics software. Runs on Windows.
  • Graphis 2D and 3D graphing software - Runs on Windows. Free 30-day evaluation copy available.
  • OpenViz and PowerViz - Both from Advanced Visual Systems, super high-end visualization toolkits. $$$$
  • Tom Sawyer Software Analysis, Visualizaiton, and Layout programs. - Heavy support for drawing graphs. Beautiful gallery. ActiveX, Java, C++ and .NET editions.
  • NetMiner - A comprehensive tool for Social Network Analysis. Runs on Windows, with a Linux version under development. $35 for "Express" student version, $250 for "Professional" student version, $950 for "Normal" "Professional" version.
  • UCINET - A comprehensive package for the analysis of social network data as well as other 1-mode and 2-mode data.
  • Logster - an ultra-easy software tool to visualize Apache-style logs on a world map.
  • Clarified Analyzer - Visualizes Network Traffic and allows to drill down from visualizations to the packet level.

Visualization Toolkits and Libraries

C/C++

  • The Visualization Toolkit - C++ multi-platform with interfaces available for Tcl/Tk, Java and Python. Professional support provided by Kitware.
  • KDirStat, an open source implementation of Treemaps written in C. (Treemaps are a visualization technique developed at the University of Maryland for visualizing large amounts of multi-dimensional data.) You can find a copy of it in Disk Inventory X and

Java

JavaScript

Python

  • NetworkX, a pure Python network layout program which uses matplotlib to do the actual graphing.

Unclassified

Journals and Conferences

Research Groups

Berkeley

Brown

Stanford

UNM

Wattenberg

See Also

CAIDA has 15+ years of work visualizing Internet topologies. You may find their tools to be useful: