Difference between pages "Tools:Visualization" and "Damaged SIM Card Data Recovery"

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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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== Summary ==
  
==Programming Languages and Developer Toolkits==
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A prerequisite for the use of SIMIS, is that the SIM card must be functional. A physically damaged, broken or dirty SIM may not function correctly, resulting in the recovery of corrupted data, or no data at all. In the forensic data recovery environment, SIM's will be presented in a variety of different conditions, ranging from good, but lightly soiled, through blood soaked to physically broken. Lightly soiled and blood soaked SIM's may be cleaned using appropriate methods, ensuring that the SIM is not further damaged taking care to preserve surface printing where possible.
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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However, physically damaged or broken SIM's require more specialised processing to produce a viable SIM for data recovery purposes. Crownhill has extensive experience in the area of SIM data recovery through its activity in the SIM manufacturing process. Crownhill works directly with the SIM silicon manufacturers and SIM card manufacturers. Processes developed to aid fault analysis and qualitative measurements are an invaluable advantage when attempting to repair and recover data from physically damaged SIM modules.
: 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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Crownhill have invested in purpose-built laboratory facilities to provide professional card cleaning, data recovery and card repair service. Based in discrete, secure premises, Crownhill can provide the full compliment of services required to clean, repair and recover data from damaged SIM's. Drawing on its own expertise and relationships with Card manufacturers and silicon vendors world-wide, Crownhill have created a centre of excellence for this specialised work. An overview of the procedures can be found here
: Advantage: Portable and a better development environment than tkiner
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: 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://processing.org processing.org]
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Where a SIM is thought to be functional, Crownhill can provide a SIM cleaning service. Blood, soot, general soiling and body fluids are handled in an environmentally secure fashion, relieving the client of responsibility for Bio Hazards and other Health and Safety issues. Cleaned SIM's are returned without undue delay, ready for data recovery by the client. Cleaning by Crownhill must be carried out after the SIM has been pre-processed for any physical evidence required, such as Photography and DNA sampling.
: Advantage: Programming language specifically developed for visualization; compiles to java byte code
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Data Recovery Process
: Disadvantage: Very oddball
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; JavaFX - Java's version of Flash
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== Data Recovery Process ==
  
; Flash
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If our findings suggest that data recovery is likely to be possible, the SIM may further examined by real time X-ray, to determine the extent of the damage. Specifically we will be looking for broken or damaged wire bonds, detachment of the silicon die and possible fractures of the die.
  
Or you could try one of these higher-level toolkits:
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=== Decapsulation ===
  
; Crystal Space 3D
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Where a damaged bond wire(s) is clearly identified and if there is no obvious damage to the silicon die, the die encapsulation can be removed. The de-capsulation process requires a great deal of skill and the use of proprietary mixes of aggressive solvents and/or acids. The exact process used depends upon the.
  
; Panda#D
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=== Testing ===
  
== Applications ==
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After de-capsulation, further electrical tests are carried out to confirm the viability of the recovered silicon die. The die bonding pads are then probed and once electrical connection is established, the silicon is accessed and the sim data recovered using proprietary software.
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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====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.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://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.
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* [http://www.codeplex.com/nodexl NodeXL] - Free/open excel add-in extends the spreadsheet with network metrics and visualizations
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* [http://sourceforge.net/projects/ivc/ InfoVis Cyberinfrastructure] - Another graph drawing system written in Java.
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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://www.andrew.cmu.edu/user/krack/krackplot.shtml Krackplot] - "KrackPlot is a program for network visualization designed for social network analysts."
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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.sfu.ca/~richards/Multinet/Pages/multinet.htm MultiNet] - A data analysis package for drawing conventional data and graph data.  
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* [http://www.analytictech.com/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://web.mit.edu/bshi/Public/nv2d/ NetVis 2D] - Another graph visualization and layout tool written in Java.
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* [http://www.opendx.org/ OpenDX] - Based on [[IBM]]'s Visualization Data Explorer, runs on [[Unix]]/X11/Motif.
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* [http://vlado.fmf.uni-lj.si/pub/networks/pajek/ 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://www.informatik.uni-bremen.de/uDrawGraph/en/uDrawGraph/uDrawGraph.html uDrawGraph]
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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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* Ubigraph
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====Computer Network Visualization====
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=== X-Rays ===
* [http://tnv.sourceforge.net/ The Network Visualizer]
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=== Commercial Graphic Applications and Tools===
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Real time X-ray examination is used to confirm the conclusions drawn from the preceding Physical, Optical and Electrical tests. X-ray examination is only undertaken where the integrity of the silicon die is thought to be uncompromised.
  
* [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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== References ==
*  [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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1. http://www.3gforensics.co.uk/sim-card-data-recovery.htm
===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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===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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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 01:20, 24 September 2008

Summary

A prerequisite for the use of SIMIS, is that the SIM card must be functional. A physically damaged, broken or dirty SIM may not function correctly, resulting in the recovery of corrupted data, or no data at all. In the forensic data recovery environment, SIM's will be presented in a variety of different conditions, ranging from good, but lightly soiled, through blood soaked to physically broken. Lightly soiled and blood soaked SIM's may be cleaned using appropriate methods, ensuring that the SIM is not further damaged taking care to preserve surface printing where possible.

However, physically damaged or broken SIM's require more specialised processing to produce a viable SIM for data recovery purposes. Crownhill has extensive experience in the area of SIM data recovery through its activity in the SIM manufacturing process. Crownhill works directly with the SIM silicon manufacturers and SIM card manufacturers. Processes developed to aid fault analysis and qualitative measurements are an invaluable advantage when attempting to repair and recover data from physically damaged SIM modules.

Crownhill have invested in purpose-built laboratory facilities to provide professional card cleaning, data recovery and card repair service. Based in discrete, secure premises, Crownhill can provide the full compliment of services required to clean, repair and recover data from damaged SIM's. Drawing on its own expertise and relationships with Card manufacturers and silicon vendors world-wide, Crownhill have created a centre of excellence for this specialised work. An overview of the procedures can be found here

Where a SIM is thought to be functional, Crownhill can provide a SIM cleaning service. Blood, soot, general soiling and body fluids are handled in an environmentally secure fashion, relieving the client of responsibility for Bio Hazards and other Health and Safety issues. Cleaned SIM's are returned without undue delay, ready for data recovery by the client. Cleaning by Crownhill must be carried out after the SIM has been pre-processed for any physical evidence required, such as Photography and DNA sampling. Data Recovery Process

Data Recovery Process

If our findings suggest that data recovery is likely to be possible, the SIM may further examined by real time X-ray, to determine the extent of the damage. Specifically we will be looking for broken or damaged wire bonds, detachment of the silicon die and possible fractures of the die.

Decapsulation

Where a damaged bond wire(s) is clearly identified and if there is no obvious damage to the silicon die, the die encapsulation can be removed. The de-capsulation process requires a great deal of skill and the use of proprietary mixes of aggressive solvents and/or acids. The exact process used depends upon the.

Testing

After de-capsulation, further electrical tests are carried out to confirm the viability of the recovered silicon die. The die bonding pads are then probed and once electrical connection is established, the silicon is accessed and the sim data recovered using proprietary software.

X-Rays

Real time X-ray examination is used to confirm the conclusions drawn from the preceding Physical, Optical and Electrical tests. X-ray examination is only undertaken where the integrity of the silicon die is thought to be uncompromised.

References

1. http://www.3gforensics.co.uk/sim-card-data-recovery.htm