This paper is published in Volume-4, Issue-1, 2018
Area
Web Mining
Author
A. Helen, S. Sobitha Ahila, A. Niranjana
Org/Univ
Easwari Engineering College, Chennai, Tamil Nadu, India
Pub. Date
19 February, 2018
Paper ID
V4I1-1366
Publisher
Keywords
Anti Money Laundering, AROMLD, Bitcoin, Bitmap Index-based Decision Tree.

Citationsacebook

IEEE
A. Helen, S. Sobitha Ahila, A. Niranjana. Literature Review on Diverse Techniques in Anti-Money Laundering System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
A. Helen, S. Sobitha Ahila, A. Niranjana (2018). Literature Review on Diverse Techniques in Anti-Money Laundering System. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.

MLA
A. Helen, S. Sobitha Ahila, A. Niranjana. "Literature Review on Diverse Techniques in Anti-Money Laundering System." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.

Abstract

Money laundering is a process of converting black money into white cash. Anti-money laundering is a procedure or method to find these laundering activities. Although efforts on anti-money activities started at an early stage, the solutions seem to be restricted to a strategic level. Mostly the perpetrators of criminal acts strive to make the transactions as innocent looking as possible. Extensive research has been conducted to investigate a proper solution for suspicious transaction detection. But there is no reliable system to confirm if the exchange is really suspicious or not and the process is also very tedious. This paper surveys several approaches and algorithms that have been proposed for anti-money laundering System.