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Written by DFMag


Digital Profiling

The technological era is rife with new methods and ways to do nearly everything. A vast increase in productivity and improvements are made using computers and all known digital devices. Computer crime and cybercrime is on the rise due to accessibility to the world wide web and the underlying networks from any corner of the Globe. Simple daily tasks and numerous core facilities and infrastructure reside on this global digital data network. Digital Profiling (DP) is a means in which we can analyse and piece together a person’s interaction with this digital data network and produce the outputs of profiling, trend analysis, market statistics, behavioral analysis and apply all this data to the Digital Profile. This information is not only useful to computer crime investigators but anyone who can usefully interpret the data points. Remember each one of us (even those with zero involvement in criminal or suspect activities) all have a digital footprint. Digital profiling is a core part of the broader topic of Criminal Profiling (more information on this is available in earlier issues of DFM). Like all other profiling techniques, DP takes into account the characteristics, behaviours, interactions and other data points that pertain to an individual who interacts with any data source.




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Andrew Harbison is a Director and IT Forensics Lead 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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