Analysis of the possibilities of artificial intelligence for investigation of fraud

Autor: Dmitriy S. Klyuev, Alexander B. Smushkin, Yulia V. Sokolova, Sergey E. Platonov
Jazyk: English<br />Russian
Rok vydání: 2023
Předmět:
Zdroj: Физика волновых процессов и радиотехнические системы, Vol 26, Iss 3, Pp 116-122 (2023)
Druh dokumentu: article
ISSN: 1810-3189
2782-294X
DOI: 10.18469/1810-3189.2023.26.3.116-122
Popis: Background. As a result of the digitalization of society, the number of fraudulent activities using information and telecommunication technologies is growing. The technological complexity of the investigation is such that it requires the use of similar tools in investigative and operational-search activities. Such tools can be artificial intelligence. Aim. Determine the potential of artificial intelligence in investigative and operational activities. Methods. The analysis method was used to evaluate existing solutions for use in investigative and operational activities, such as face recognition, based on Haar rules, imitator programs and voice control, solutions of the Incident Management service, Papillon AFIS, Zerkalo GIS, Forver project , IS «Obraz++», machine learning capabilities, neural networks. Results. Some relevant solutions are shown that require integration into a single system of technological and intelligent solutions (artificial intelligence) for investigative actions and operational-search activities. Conclusion. Presented are modern automated information tools that require their integration into a single intelligent technological system (artificial intelligence) for investigating crimes. Ключевые слова следственные действия; классическое и цифровое мошенничество; машинное обучение; нейросети; цифровые следы; интеллектуальная идентификация; искусственный интеллект. investigative actions; classical and digital fraud; machine learning; neural networks; digital footprints; intelligent identification; artificial intelligence.
Databáze: Directory of Open Access Journals
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