Wednesday, April 19, 2017


As well as textual content posted on social media; pictures and videos, such as those captured by
services like Instagram, Flickr and Twitter also provide a potentially useful resource. These images
regularly come attached with textual meta-data, such as “hashtags” and content
descriptions, as well as comments and feedback from other users of the platform that describes the
media content in question. Searching through these images manually, one by one is impossible
due to the sheer amount of content present on the platforms. Since tagging and geo-tagging are
common-place, data mining and analytical processing can be used to speed up and automate the
extraction of information. Text mining techniques can also extract further metadata such as names,
places, or actions related to criminal activities. Data mining and analysis
techniques can be applied in a variety of ways in order to improve the quality of information available to police investigations. Technologies such as the use of
artificial neural networks for the extraction of entities from police narrative reports, the use of an
algorithmic approach based on the calculation of Euclidean Distances for the identification of identity
deceptions by criminals, the tracing of identities of criminals from posted messages on the Web using
learning algorithms, such as Support Vector Machines, and the use of Social Network Analysis for
uncovering structural patterns from criminal networks can all aid in improving the quality and diversity of information being fed into the intelligence operations of LEAs.

Cyber Crime and Cyber Terrorism - Babak Akhgar

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