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Written by DFMag


Bloom Filters

In our feature article, Richard Carbone who works for Defence R&D Canada, introduces the application of Bloom Filters into Digital Forensics as a method of identifying hard to detect data from partial evidentiary hashes. You may have heard of Bloom Filters, but did you know that modified versions of them could be used for disk forensics? Although straightforward to use, understanding them will require briefly looking at the mathematics behind them. In this article, we will look at the theory behind Bloom filters and how we might use them for disk based digital forensics. We will be following up this article with a second part that will demonstrate several real-world example applications of modified Bloom filter-based forensics.




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Coming up in the Next issue of Digital Forensics Magazine

Coming up in Issue 37 on sale from November 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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