Difference between pages "Tools:Visualization" and "Volatility Framework"

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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.
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{{Infobox_Software |
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  name = Volatility |
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  maintainer = [[AAron Walters]] |
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  os = {{Cross-platform}} |
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  genre = {{Memory analysis}}, {{Memory imaging}} |
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  license = {{GPL}} |
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  website = [https://www.volatilesystems.com/default/volatility https://www.volatilesystems.com/] |
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}}
  
==Programming Languages and Developer Toolkits==
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The '''Volatility Framework''' is a completely open collection of tools, implemented in Python under the GNU General Public License, for the extraction of digital artifacts from volatile memory (RAM) samples. The extraction techniques are performed completely independent of the system being investigated but offer unprecedented visibility into the runtime state of the system. The framework is intended to introduce people to the techniques and complexities associated with extracting digital artifacts from volatile memory samples and provide a platform for further work into this exciting area of research.
If you are building forensic tools, you probably want to start with one of these:
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; Java and Swing
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: Advantage: Portable and lots of good documentation out there.
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: Disadvantage: Programs are a bit verbose, and only offers about 1/2 the performance of C
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; Python with tkinter
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The project was originally developed by and is now headed up by [[AAron Walters]] of [[Volatile Systems]].
: Advantage: Portable
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: Disadvantage: Python is one of the slowest modern languages around.
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; Python with wxWidgets
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== Plugins ==
: Advantage: Portable and a better development environment than tkiner
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See: [[List of Volatility Plugins]]
: Disadvantage: wxWidgets is not installed by default, so you'll need to get it installed. Not as well documented as Tkinter
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; [http://www.pyside.org Python with Qt (PySide)]
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== Memory acquisition drivers ==
: Advantage: Portable and a better development environment than tkiner or wxWidgets
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: Disadvantage: Though not difficult, PySide has to be installed separately
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; [http://processing.org processing.org]
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In 2012 [[Michael Cohen]] contributed both a Linux and a Windows Open Source memory (acquisition) driver to the Volatility project as part of the Technology Preview (TP) version, aka scudette branch.
: Advantage: Programming language specifically developed for visualization; compiles to java byte code
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Since the scudette branch of Volatility has moved on as a separate project, the drivers can now be found as part of the [[rekall]] project.
: Disadvantage: Very oddball
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; JavaFX - Java's version of Flash
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== See Also ==
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* [[List of Volatility Plugins]]
  
; Flash
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== External Links ==
 
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* [https://www.volatilesystems.com/default/volatility Official web site]
Or you could try one of these higher-level toolkits:
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* [http://code.google.com/p/volatility/ Code repository], direct link to [http://code.google.com/p/volatility/source/browse/ source]
 
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* [http://code.google.com/p/volatility/w/list Volatility Documentation]
; Crystal Space 3D
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; Panda#D
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== Applications ==
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Most of these are scriptable.
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===Open Source===
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====Data Plotting====
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* http://ploticus.sourceforge.net
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* http://www.gnuplot.info/
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* [http://www.opendx.org/ OpenDX] - Based on [[IBM]]'s Visualization Data Explorer for 3D, runs on [[Unix]]/X11/Motif. (2007)
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* http://tulip.labri.fr/TulipDrupal/
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* http://highcharts.com/
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* matplotlib
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====Graph and (Social) Network Visualization====
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* [http://code.google.com/p/boomslang/ Boomslang] --- A thin layer of python over matplotlib that makes it easier to do common plots.
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* [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.
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* [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].
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* [http://www.codeplex.com/nodexl NodeXL] - Free/open excel add-in extends the spreadsheet with network metrics and visualizations. (Only runs on Windows)
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* [http://gephi.org/ Gephi] -Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs
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* http://graphstream-project.org/
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* http://projects.skewed.de/graph-tool/ - graph-tool is an efficient python module for manipulation and statistical analysis of graphs (a.k.a. networks).
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* http://igraph.sourceforge.net/ - Integrates with R.
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* http://nwb.cns.iu.edu/ - NetworkWorkbench, a workbench for network scientists.
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* http://socnetv.sourceforge.net/ - "Social Networks Visualizer (SocNetV) is a flexible and user-friendly tool for the analysis and visualization of Social Networks."
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* [http://jung.sourceforge.net/ Java Universal Network/Graph Framework (JUNG)] - Graphing, [[data mining]], [[social network]] analysis, and other stuff.
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* [http://bioinformatics.icmb.utexas.edu/lgl/ Large Graph Layout (LGL)] - A bioinformatics system from University of Texas. They really mean Large.
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* [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."
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* [http://pajek.imfm.si/doku.php Pajek] - Windows program for drawing large networks.
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* [http://sourceforge.net/projects/sonia/ Social Network Image Animator (SoNIA)] - Originally developed at Stanford. Written in Java. Makes movies.
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* [http://wilma.sourceforge.net/ WilmaScope] - Real-time animations of dynamic graph structures. Written in Java. Sophisticated force model with strings and attraction.
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* [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.
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* [http://afterglow.sf.net AfterGlow] - A tool to simplify the generation of network graphs in GraphViz, Gephi, etc.
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* http://tulip.labri.fr/TulipDrupal/ - Tulip is an information visualization framework dedicated to the analysis and visualization of relational data.
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See also: http://en.wikipedia.org/wiki/Social_network_analysis_software
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Reas govisual diagram editor
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reas.com
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gdf.net
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Visit http://wci.llnl.gov/codes/visit/
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====Abandoned Social network Graphers====
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(Abandoned means that it hasn't been updated since 2009)
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* [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)
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* [http://sourceforge.net/projects/ivc/ InfoVis Cyberinfrastructure] - Another graph drawing system written in Java. (2009)
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* [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)
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* [http://www.sfu.ca/~richards/Multinet/Pages/multinet.htm MultiNet] - A data analysis package for drawing conventional data and graph data.  (2007)
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* [http://developer.berlios.de/projects/nv2d/ NetVis 2D] - Another graph visualization and layout tool written in Java. (2005)
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* [http://www.informatik.uni-bremen.de/uDrawGraph/en/uDrawGraph/uDrawGraph.html uDrawGraph]
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* [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)
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* http://www.paterva.com/web5/
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====Computer Network Visualization====
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* [http://tnv.sourceforge.net/ The Network Visualizer]
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=== Commercial Graphic Applications and Tools===
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* [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.
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*  [http://www.geomantics.com/ Geomantics] - Geographical, Visualization and Graphics software. Runs on [[Windows]].
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* [http://www.kylebank.com/ Graphis 2D and 3D graphing software] - Runs on [[Windows]]. Free 30-day evaluation copy available.
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* [http://www.openviz.com/ OpenViz] and  [http://www.powerviz.com/ PowerViz] - Both from Advanced Visual Systems, super high-end visualization toolkits. $$$$
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* [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.
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* [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.
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* [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.
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* [http://www.clarifiednetworks.com/logster Logster] - an ultra-easy software tool to visualize Apache-style logs on a world map.
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* [http://www.clarifiednetworks.com/Clarified%20Analyzer Clarified Analyzer] - Visualizes Network Traffic and allows to drill down from visualizations to the packet level.
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== Visualization Toolkits and Libraries ==
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===C/C++===
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* [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].
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* [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
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===Java===
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* [http://csbi.sourceforge.net/index.html Graph Interface Library (GINY)] - Java
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* [http://hypergraph.sourceforge.net/ HyperGraph] - Hyperbolic trees, in Java. Check out the home page. Try clicking on the logo...
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* [http://ivtk.sourceforge.net/ InfoViz Toolkit] - Java, originally developed at [[INRA]].
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* [https://jdigraph.dev.java.net/ Jdigrah] - Java Directed Graphs.
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* [http://jgrapht.sourceforge.net/ JGraphT] - A Java visualization kit designed to be simple and extensible.
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* [http://prefuse.sourceforge.net/ Perfuse] - A Java-based toolkit for building interactive information visualization applications
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* [http://www.ssec.wisc.edu/~billh/visad.html#intro VisAD] - A Java component library for interactive and collaborative visualization.
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* [http://www.softwaresecretweapons.com/jspwiki/Wiki.jsp?page=LinguineMaps Linguine Maps] - An open-source Java-based system for visualizing software call maps.
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* [http://zvtm.sourceforge.net/index.html Zoomable Visual Transformation Machine] - Java. Originally started at Xerox Research Europe.
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* [http://openmap.bbn.com/ OpenMap] A Java-based Geographical Information System framework, from [[BBN]].
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===JavaScript===
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* [http://mbostock.github.com/d3/ D3 - Data Driven Documents] - A visualization library for the Web.
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* [http://key-lines.com KeyLines] - Commercially licensed visualization library for networks/graphs.
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===Python===
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* [http://networkx.lanl.gov/ NetworkX], a pure Python network layout program which uses matplotlib to do the actual graphing.
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===Unclassified===
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* [http://gravisto.fim.uni-passau.de/ Gravisto: Graph Visualization Toolkit] - An editor and toolkit for developing graph visualization algorithms.
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* [http://www.gnu.frb.br:8080/rox Rox Graph Theory Framework] - An open-source plug-in framework for graph theory visualization.
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* [http://touchgraph.sourceforge.net/ TouchGraph] - Library for building graph-based interfaces.
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==Journals and Conferences==
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* [http://www.palgrave-journals.com/ivs/index.html Information Visualization Journal]
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* [http://rw4.cs.uni-sb.de/~diehl/softvis/seminar/index.php?goto=seminar ACM Symposium on Software Visualization]
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==Research Groups==
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===Berkeley===
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* [http://bailando.sims.berkeley.edu/infovis.html Bailando Visualization]
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* [http://vis.berkeley.edu/ Berkeley Visualization Lab]
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===Brown===
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* [http://www.cs.brown.edu/people/rt/gd.html Roberto Tamassia's resources on Graph Drawing]
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===Stanford===
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* [http://window.stanford.edu/projects/rivet/ Rivet Project] (Visualization complex systems)
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===UNM===
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* [http://www.msi.umn.edu/user_support/scivis/scivis-list.html Scientific Visualization at the Supercomputing Institute]
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===Wattenberg===
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* [http://www.bewitched.com/ Bewitched], a one-man research group.
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==See Also==
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* [http://www-static.cc.gatech.edu/gvu/ii/resources/infovis.html GVU's Information Visualization Resources link farm]
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* [http://directory.google.com/Top/Science/Math/Combinatorics/Software/Graph_Drawing/ Google Directory of Graph Drawing Software]
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* [http://directory.fsf.org/science/visual/ GNU Free Software directory of scientific visualization software]
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* [http://www.manageability.org/blog/stuff/open-source-graph-network-visualization-in-java/view Open Source Graph Network Visualization in Java]
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* [http://www.insna.org/INSNA/soft_inf.html INSNA's web page of Computer Programs for Social Network Analysis]
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* http://www.dmoz.org/Science/Math/Combinatorics/Software/Graph_Drawing/
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* http://www.ontopia.net/omnigator/models/index.jsp
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* http://visant.bu.edu/
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* http://sourceforge.net/projects/touchgraph/
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* [http://www.informatik.uni-rostock.de/~ct/ Christian Tominski]
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CAIDA has 15+ years of work visualizing Internet topologies. You may find their tools to be useful:
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* http://www.caida.org/tools/visualization/
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* http://www.caida.org/publications/visualizations/
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* http://www.caida.org/tools/visualization/walrus/gallery1/
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* http://www.caida.org/research/topology/as_core_network/
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Revision as of 14:51, 12 January 2014

Volatility
Maintainer: AAron Walters
OS: Cross-platform
Genre: Memory Analysis,Memory Imaging
License: GPL
Website: https://www.volatilesystems.com/

The Volatility Framework is a completely open collection of tools, implemented in Python under the GNU General Public License, for the extraction of digital artifacts from volatile memory (RAM) samples. The extraction techniques are performed completely independent of the system being investigated but offer unprecedented visibility into the runtime state of the system. The framework is intended to introduce people to the techniques and complexities associated with extracting digital artifacts from volatile memory samples and provide a platform for further work into this exciting area of research.

The project was originally developed by and is now headed up by AAron Walters of Volatile Systems.

Plugins

See: List of Volatility Plugins

Memory acquisition drivers

In 2012 Michael Cohen contributed both a Linux and a Windows Open Source memory (acquisition) driver to the Volatility project as part of the Technology Preview (TP) version, aka scudette branch. Since the scudette branch of Volatility has moved on as a separate project, the drivers can now be found as part of the rekall project.

See Also

External Links