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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 39 on sale from February 2019:


Making Sense of Digital Forensic International Standards

To many the complexity of Standards, their numbering and obscure contents fail to make practical sense and confuse the entry points for effective use. A roadmap is provided in this paper for Standard information access and optimal use. Read More »

Evidentiary Challenges: Social media, the Dark Web, and Admissibility

This article takes a look at two categories of remote evidence: social media, and the dark web. We will also examine two interesting cases: The Target store credit card breach; and the civil case of Fero v Excellus Health Plan, Inc. Read More »

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Vehicle Data Forensics on Unsupported Systems

The article will help readers understand how to approach a vehicle from a digital forensics’ perspective, it will cover a range of infotainment units from popular manufacturers, data extraction methods and examples of data types found which may be considered intelligence and or used as digital evidence. Read More »

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