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Digital evidence plays a crucial role in child pornography investigations.
However, in the following case study, the authors argue that the behavioral analysis or “profiling” of digital evidence can also play a vital role in child pornography investigations.
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Once you analyzed the document (for web sites, all keyword are not considered the same, for example you might give the title an extra weight then the body, this will be covered in a different post) you get a list of categories and score, the highest score category is usually the category of the document, the second category may indicate a secondary category, you will need to see based on your weights when to allow the second category, for example when over 50% of main category.
However when the IE history file was analyzed by visit, or “hit,” count, the Pictures/Profiles (31.5%) category had the highest visit count followed by Neutral (19.3%), Gay Porn (17%), and Child Porn (16.6%).
When comparing the frequency of URLs to the Hit Count for each pornography type, it was noted that the accused was accessing gay porn, child porn, chat rooms, and picture profiles (i.e., from Facebook) more often than adult porn and neutral websites.
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