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Digital Forensic analysis using Mathematica


Digital Forensic analysis using Mathematica

Today, digital forensic investigators and analysts are most likely to use a multitude of software tools during an investigation. Some are free and open source, others free and closed source, and others commercial in nature. Unfortunately, many of the commercial forensic software tools typically employed are expensive, sometimes excessively so, and often the software is capable of performing only a few data processing or analysis tasks. Mathematica, a commercial mathematics and symbolic computing software framework, is an entirely different creature from what investigators and analysts typically use. It is unlike anything in the investigator’s software toolbox. Complete with very extensive data processing and analysis capabilities, it includes wide-ranging support for image processing and analysis. While our ultimate goal is to show you how Mathematica can be used for wide ranging forensic image analysis, a tutorial is required because it is very different from what most investigators are used to. So, in this first of several articles, we will provide a hands-on Mathematica tutorial to get you up and running and to prepare you for doing real analysis and data processing in our follow-up articles.

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Coming up in the Next issue of Digital Forensics Magazine

Coming up in Issue 36 on sale from February 2018:


Crowd Sourcing Digital Evidence The Risk v The Reward

All digital devices used today can be considered as a potential source for digital evidence. Andrew Ryan investigates the current state in the art of crowd sourced digital evidence. Read More »

Recovery of Forensic Artifacts from Deleted Jump-List in Windows 10

Jump-Lists are widely discussed in forensics community since the release of Windows 7 and are having more capabilities to reveal forensics artifacts in Windows 10. Read More »

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Voice Biometrics

This article looks at the research and development in the field of Voice Biometrics and Speech Analytics, specifically Speaker Identification, Language and Gender Identification, Speech-to-Text Transcription, Keyword Spotting, and others. Read More »

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