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Anti-money laundering systems: a systematic literature review

Alhanouf Abdulrahman Saleh Alsuwailem (Department of Information Systems, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia)
Abdul Khader Jilani Saudagar (Department of Information Systems, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia)

Journal of Money Laundering Control

ISSN: 1368-5201

Article publication date: 4 June 2020

Issue publication date: 11 December 2020



This paper aims to understand and document the state of the art in the anti-money laundering (AML) systems literature.


A systematic literature review (SLR) is performed using the Saudi Digital Library. The outputs published as conference proceedings, workshop proceedings, journal articles and books were all considered. The final sample size after omitting out-of-scope selections was 27 documents, which mainly span from 2015 to 2020.


The sample is discussed based on a categorization, which demarcates solutions, machine learning, data sources, evaluation methods, implementation tools, sampling techniques and regions of study.


This SLR could serve as a useful basis for researchers and salient decision-makers, who are seeking to understand the nature and extent of the currently available research into AML systems.



Alsuwailem, A.A.S. and Saudagar, A.K.J. (2020), "Anti-money laundering systems: a systematic literature review", Journal of Money Laundering Control, Vol. 23 No. 4, pp. 833-848.



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