A model for identifying relationships of suspicious customers in money laundering using social network functions

Abdul K. Shaikh, Amril Nazir

نتاج البحث

1 اقتباس (Scopus)

ملخص

The impact on the development of the national economy is mostly dependent on the flow of money in the country. The suspicious transactions of money within financial institutions affect the national economic system and compromise the impression of country’s reputation. Identifying an individual suspicious transaction and individual suspicious customers within transactions are evident by using basic statistical rules. Other than such traditional rules, this paper proposes a model that discusses the identifications of association and relationships within transactions and customers using Social Networks Analysis (SNA). With the help of this model, groups and gang mafia can be identified who mainly play a vibrant role in money laundering activities.

اللغة الأصليةEnglish
عنوان منشور المضيفProceedings of the World Congress on Engineering 2018, WCE 2018
المحررونLen Gelman, A. M. Korsunsky, David WL Hukins, Andrew Hunter, S. I. Ao
ناشرNewswood Limited
رقم المعيار الدولي للكتب (الإلكتروني)9789881404794
حالة النشرPublished - 2018
الحدث2018 World Congress on Engineering, WCE 2018 - London
المدة: يوليو ٤ ٢٠١٨يوليو ٦ ٢٠١٨

سلسلة المنشورات

الاسمLecture Notes in Engineering and Computer Science
مستوى الصوت2235
رقم المعيار الدولي للدوريات (المطبوع)2078-0958

Conference

Conference2018 World Congress on Engineering, WCE 2018
الدولة/الإقليمUnited Kingdom
المدينةLondon
المدة٧/٤/١٨٧/٦/١٨

ASJC Scopus subject areas

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