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Applying graph theory to detect cases of money laundering and terrorism financing

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dc.contributor.authorMiloslavskaya, N. G.
dc.contributor.authorNikiforov, A.
dc.contributor.authorPlaksiy, K.
dc.contributor.authorTolstoy, A.
dc.contributor.authorМилославская, Наталья Георгиевна
dc.contributor.authorНикифоров, Андрей Александрович
dc.contributor.authorПлаксий, Кирилл Валерьевич
dc.contributor.authorТолстой, Александр Иванович
dc.date.accessioned2024-11-21T17:26:28Z
dc.date.available2024-11-21T17:26:28Z
dc.date.issued2019
dc.description.abstract© 2020, IGI Global.A technique to automate the generation of criminal cases for money laundering and financing of terrorism (ML/FT) based on typologies is proposed. That will help an automated system from making a decision about the exact coincidence when comparing the case objects and their links with those in the typologies. Several types of subgraph changes (mutations) are examined. The main goal to apply these mutations is to consider other possible ML/FT variants that do not correspond explicitly to the typologies but have a similar scenario. Visualization methods like the graph theory are used to order perception of data and to reduce its volumes. This work also uses the foundations of information and financial security. The research demonstrates possibilities of applying the graph theory and big data tools in investigating information security incidents. A program has been written to verify the technique proposed. It was tested on case graphs built on the typologies under consideration.
dc.format.extentС. 297-319
dc.identifier.citationApplying graph theory to detect cases of money laundering and terrorism financing / Miloslavskaya, N.G. [et al.] // Handbook of Research on Advanced Applications of Graph Theory in Modern Society. - 2019. - P. 297-319. - 10.4018/978-1-5225-9380-5.ch012
dc.identifier.doi10.4018/978-1-5225-9380-5.ch012
dc.identifier.urihttps://www.doi.org/10.4018/978-1-5225-9380-5.ch012
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85077835548&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/19340
dc.relation.ispartofHandbook of Research on Advanced Applications of Graph Theory in Modern Society
dc.titleApplying graph theory to detect cases of money laundering and terrorism financing
dc.typeBook Chapter
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