PRIMJENA BENFORDOVOG ZAKONA, REINFORCEMENT UČENJA I DRUGIH METODA U FORENZIČKOJ I ISTRAŽNOJ PRAKSI
APPLICATION OF BENFORD'S LAW, REINFORCEMENT LEARNING AND OTHER METHODS IN FORENSIC AND INVESTIGATIVE PRACTICE

Summary/Abstract: Benford's Law is a logarithmic law of the dynamics of leading digits in large sets of numerical data. Over time, it has become a powerful tool in the field of internal anomaly detection (inlier) and forensic practice. There are wide possibilities of application in the analysis of various types of data, including all forms of crime, ranging from digital forms to statistical data. In combination with other techniques, it allows for the recognition of patterns that serve as guidelines for deeper analysis. According to research, Benford's Law is used to identify deviations in financial statements and digital records, which may indicate potential cyber threats. In combination with advanced analytical tools, this law allows forensic scientists to recognize patterns that deviate from expected distributions, which facilitates the detection of sophisticated forms of cybercrime. One of these techniques is reinforcement learning, the third type of machine learning, in addition to supervised and unsupervised. It is increasingly being used due to its important advantages.

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