OPTIMIZATION OF THE SEARCH, ANALYSIS AND INTERPRETATION PROCESSES OF DIGITAL EVIDENCE BASED ON ARTIFICIAL INTELLIGENCE ALGORITHMS
Abstract and keywords
Abstract (English):
Criminalistics as a science that studies the mechanism of crime and the emergence of information about it, in the context of universal digitalization and intellectualization, acquires new research and practice-oriented opportunities. At the same time, artificial intelligence technologies are an additional tool integrated into the system of forensic means. The article presents the possibility of optimizing the process of searching, analyzing and interpreting digital evidence using an algorithmic approach, which leads to the development of software technical and forensic tools. The example of crimes in the field of computer information shows the feasibility of introducing intelligent systems into criminalistics, which is due to the need to identify natural relationships between elements of the criminalistics characteristics of criminal acts, analyze large amounts of data in digital form, identify patterns of criminal activity and prompt decision-making in conditions of uncertainty.

Keywords:
digital evidence, criminalistics algorithm, crime investigation, investigation algorithms, digital forensics, artificial intelligence, forensic technology, computer crime, cybercrime, forensics 5.0
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