Influence of artificial intelligence in forensic computation
DOI:
https://doi.org/10.22519/22157360.1445Keywords:
Cybersecurity, intrusion detection, digital evidence, social networks, machine learningAbstract
Digital forensic analysis is the means used by the cyber investigator to track the offender in case there is no physical evidence. However, the lack of adequate mechanisms to obtain this objective is an obstacle presented by forensic computing. Therefore, the purpose of this study
was to determine the influence of artificial intelligence in forensic computing to highlight its importance and identify advantages that it provides when performing a digital forensic analysis, where the research was of a qualitative type with a phenomenological approach. As a result, it was obtained that forensic computing has relied on machine learning to detect the trade and sale of controlled substances in social networks through algorithms based on patterns and inferences about suppliers of illegal substances.
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