Statistical Sampling Approach to Investigate Child Pornography Cases

One of the pressing issues in cyber crime is to carry out efficient investigation in child pornography cases. The work in this paper presents an in-depth understanding and deployment of statistical analysis methodologies in the field of digital forensic, with the linkage of the MD5 hash value in conducting forensic investigations. More precisely, it highlights the challenges that forensic investigators are facing during an examination, such as the amount or the content of data. Furthermore, the paper presents the margins of forensic software when dealing with large quantities of data, and how the use of statistical analysis assists in reducing the investigation time and improving effectiveness and efficiency.

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