"Scientific research" Almanac

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  DEEP NEURAL NETWORKS FOR DETECTION OF CREDIT CARD FRAUD

  This publication presents research on the possibility of using Deep Neural Net-works (DNNs) for detection of credit card fraud. The research is based on an open da-taset and aims to determine how the varying number of hidden layers and other archi-tectural parameters (width of each layer, activation functions) affects training and predictive ... This publication presents research on the possibility of using Deep Neural Net-works (DNNs) for detection of credit card fraud. The research is based on an open da-taset and aims to determine how the varying number of hidden layers and other archi-tectural parameters (width of each layer, activation functions) affects training and predictive potential of the network. It also aims to determine how to use generative-adversarial approach efficiently in order to overcome the problem with the imbalance between legitimate and fraudulent transactions, which is crucial characteristic of the datasets related to detection of credit card fraud. The publication presents the results of various experiments, conducted to achieve the stated goals. A number of experiments have been carried out combining network training of various depth of the network and with different parameters of the learning process, for example, activation function and dropout values. The experiments focus on using generative-adversarial approach as a method for oversampling, in par-ticular. The results indicate that deep neural networks with moderate hidden layers, combined with methods for oversampling are performing much better in identifying fraudulent transactions than the classical neural networks, consisting of only one hid-den layer. The results also indicate that using generative-adversarial approach as a method for oversampling is comparable in efficiency to other widely used techniques.

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  CHARACTERISTICS OF FRAUD AND PERPETRATORS OF FRAUD

  The development of economic processes and activities raises the need for adequate knowledge and skills related to fraud detection. The relevance of the study is related to the continuous change and development of the means and approaches used by the control bodies, the emerging phenomena and processes requiring innovative thinking and the ... The development of economic processes and activities raises the need for adequate knowledge and skills related to fraud detection. The relevance of the study is related to the continuous change and development of the means and approaches used by the control bodies, the emerging phenomena and processes requiring innovative thinking and the developing technologies and software tools for financial fraud. The purpose of the research study is to identify the inherent characteristics of financial fraud and their perpetrators by analysing the regulations governing its manifestations and systematizing the types of financial fraud. The goal is achieved by performing the following tasks: defining the concept of "fraud"; outlining the main features of financial fraud; analysis of the legal framework; systematizing the types of financial fraud by certain indicators; examining the profile of the perpetrator of financial fraud. The thesis being defended is that financial fraud is a dynamic and complex phenomenon that requires adequate measures by the control and judicial authorities, taking into account the changes in the profile of the perpetrators and the methods of committing misconduct. As a result of the study, the legal regulation of financial fraud was systematized, criteria for their differentiation were drawn up and the characteristics and profile of the perpetrators of financial fraud were drawn up.

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  TRAINING IN THE DOCTORAL PROGRAM "ACCOUNTING, CONTROL AND ANALYSIS OF BUSINESS (ACCOUNTING)" AT D. A. TSENOV ACADEMY OF ECONOMICS – PROBLEMS AND PROSPECTS

  Achieving an economic and social standard of society is related to the need for highly qualified scientists and specialists. Policies and activities in the field of education and science are a guarantee for such achievement. Higher schools face the problem of developing and continuously improving doctoral education, incl. education in the field of ... Achieving an economic and social standard of society is related to the need for highly qualified scientists and specialists. Policies and activities in the field of education and science are a guarantee for such achievement. Higher schools face the problem of developing and continuously improving doctoral education, incl. education in the field of accounting. The purpose of the research is to outline the existing problems and directions for the development of the doctoral program "Accounting, control and analysis of business activities (accounting)" at D. A. Tsenov Academy of Economics, based on theoretical and empirical study of training in this programme in the context of the European priorities. The main research thesis is that training at D. A. Tsenov Academy of Economics in a doctoral degree in the field of accounting requires integrated management of all aspects of its regulation, organization and practical implementation, which will contribute to increase the competitiveness of the doctoral programme and its position as a leader in the educational market in the country and abroad. By examining the regulatory and strategic documents in the country and within the EU in the field of education at Doctoral level of tertiary education and by outlining the characteristics of the doctoral programme under study, as well as by applying a survey method to study the motivation and satisfaction of those interested in the programme, the state and prospects for its development and opportunities for increasing its competitiveness have been outlined.