员工欺诈的法医学鉴定及检测方法

Vladimir A. Timchenko
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摘要

主题。本文讨论了在经济信息处理中数字技术快速发展的背景下,建立多层次人事欺诈模型的必要性、模型的结构和形成特点。本文旨在提出一种确定典型人事欺诈模型结构的新颖方法,包括这些模型的主要元素以及它们之间的相关性。本文还旨在确定人员非法活动的数字足迹特征,并证明使用数字技术开发此类模型的必要性。在研究中,我采用了比较分析法、系统化法、归纳法、演绎法。本文提出了多层次人员舞弊典型模型的形成途径,并给出了这些模型的主要构成要素和它们之间的相互关系。本文举例说明了如何利用经济信息来发现一些人员欺诈方法的痕迹,并描述了非法活动的数字痕迹的主要形式。结论和相关性。制定的方法方法可以帮助科学地开发典型的利用数字技术的人员欺诈多层次模型。它们还可以作为科学讨论的基础,并在此基础上促进人事欺诈的法医诊断领域的进一步科学研究。通过使用标准模型的诊断手段检测到人员欺诈的法医痕迹,将有可能有效地识别和披露这类非法活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forensic indicia of staff fraud and the detection methods
Subject. This article discusses the need to create multi-level models of personnel fraud, their structure and peculiarities of formation in the context of the rapid growth of digital technologies in the processing of economic information. Objectives. The article aims to present an original approach to determining the structure of typical models of personnel fraud, including the main elements of such models and correlations between them. The article also aims to determine the features of digital footprints of illegal activities of personnel and justify the need to use digital technologies to develop such models. Methods. For the study, I used the methods of comparative analysis, systematization, induction, and deduction. Results. The article presents approaches to the formation of multi-level typical models of personnel fraud and provides the main elements of such models and correlations between them. The article gives an example of how it is possible to detect traces of some methods of personnel fraud based on the use of economic information, and describes the main forms of digital trails of illegal activities. Conclusions and Relevance. The formulated methodological approaches can help scientifically develop typical multi-level models of personnel fraud using digital technologies. They can also serve as a basis for scientific discussion and, on this basis, contribute to further scientific research in the field of forensic diagnostics of personnel fraud. The forensic traces of personnel fraud detected by means of diagnostics using standard models will make it possible to effectively identify and disclose this type of illegal activity.
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