%0 Journal Article %1 noauthororeditor2014design %A Helmy, Tamer Hossam Eldin %A zaki Abd-ElMegied, Mohamed %A Sobh, Tarek S. %A Badran, Khaled Mahmoud Shafea %D 2014 %J International Journal of Computer Networks and Applications (IJCNA) %K Anti Cycle Laundering Link Money Suspected and detecting detection laundering monitoring system %N 1 %P 15-25 %T Design of a Monitor for Detecting Money Laundering and Terrorist Financing %U http://www.ijcna.org/Manuscripts/Volume-1/Issue-1/Vol-1-issue-1-M-03.pdf %V 1 %X Money laundering is a global problem that affects all countries to various degrees. Although, many countries take benefits from money laundering, by accepting the money from laundering but keeping the crime abroad, at the long run, “money laundering attracts crime”. Criminals come to know a country, create networks and eventually also locate their criminal activities there. Most financial institutions have been implementing anti-money laundering solutions (AML) to fight investment fraud. The key pillar of a strong Anti-Money Laundering system for any financial institution depends mainly on a well-designed and effective monitoring system. The main purpose of the Anti-Money Laundering transactions monitoring system is to identify potential suspicious behaviors embedded in legitimate transactions. This paper presents a monitor framework that uses various techniques to enhance the monitoring capabilities. This framework is depending on rule base monitoring, behavior detection monitoring, cluster monitoring and link analysis based monitoring. The monitor detection processes are based on a money laundering deterministic finite automaton that has been obtained from their corresponding regular expressions.

@article{noauthororeditor2014design, abstract = {Money laundering is a global problem that affects all countries to various degrees. Although, many countries take benefits from money laundering, by accepting the money from laundering but keeping the crime abroad, at the long run, “money laundering attracts crime”. Criminals come to know a country, create networks and eventually also locate their criminal activities there. Most financial institutions have been implementing anti-money laundering solutions (AML) to fight investment fraud. The key pillar of a strong Anti-Money Laundering system for any financial institution depends mainly on a well-designed and effective monitoring system. The main purpose of the Anti-Money Laundering transactions monitoring system is to identify potential suspicious behaviors embedded in legitimate transactions. This paper presents a monitor framework that uses various techniques to enhance the monitoring capabilities. This framework is depending on rule base monitoring, behavior detection monitoring, cluster monitoring and link analysis based monitoring. The monitor detection processes are based on a money laundering deterministic finite automaton that has been obtained from their corresponding regular expressions.}, added-at = {2016-10-11T22:48:34.000+0200}, author = {Helmy, Tamer Hossam Eldin and zaki Abd-ElMegied, Mohamed and Sobh, Tarek S. and Badran, Khaled Mahmoud Shafea}, biburl = {https://www.bibsonomy.org/bibtex/2e00e25e91bc8cb9f98995d17d46f11f7/ijcnaeditor}, interhash = {7820323a1d22c22bdae275cf96be1d39}, intrahash = {e00e25e91bc8cb9f98995d17d46f11f7}, journal = {International Journal of Computer Networks and Applications (IJCNA)}, keywords = {Anti Cycle Laundering Link Money Suspected and detecting detection laundering monitoring system}, month = {December}, number = 1, pages = {15-25}, timestamp = {2016-10-11T22:48:34.000+0200}, title = {Design of a Monitor for Detecting Money Laundering and Terrorist Financing}, url = {http://www.ijcna.org/Manuscripts/Volume-1/Issue-1/Vol-1-issue-1-M-03.pdf}, volume = 1, year = 2014 }