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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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Noemi Kuncik is an IT Forensics Specialist at Grant Thornton

 

Coming up in the Next issue of Digital Forensics Magazine

Coming up in Issue 41 on sale from November 2019:


Forensic Syntactical & Linguistic Investigation

Mark Iwazko presents a case study regarding a Forensic Syntactical & Linguistic investigation: Instructed by the Moscow General Council of one of the actual big four accountants. Read More »

Forensic Readiness: A Proactive Approach to Support Forensic Digital Analysis

An increasing number of criminal actions are inflicting financial and brand damage to organizations around the globe. An impressive number of such cases do not reach the courts, mainly because of the organization’s inefficiency to produce robust digital evidences that are acceptable in the courts of law. Read More »

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Using Error-Patterns for Attribution: An Applied Linguistics Technique

Corpus Linguistics within Second Language Acquisition has developed models of error patterns made by defined groups of second language learners. This knowledge base can be leveraged by a knowledgeable analyst to attribute content to a subset of authors. Read More »

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