3 years ago
Dr. Oussama Hamid from
the Department of Computer Science and Engineering chaired a session on
'Wireless Communications' and presented one of his recent research works at the
9th IEEE-GCC Conference & Exhibition. The conference was held from 8-11
May, 2017 in Manama, Bahrain (http://ieee-gcc.org/). The title of the presented paper is 'Breaking through
Opacity: A Context-Aware Data-Driven Conceptual Design for a Predicative Anti
Money Laundering System'. The paper is part of the conference's proceedings and
is to be indexed into the IEEE Xplore Digital Library.
Abstract of the presented paper:
We studied the problem of money laundering.
Current anti money laundering artificial systems solve this problem by tracking
transactions. However, several inherent aspects impede a full uncovering of the
underlying process; most arguably the abstract nature of transactions and the
'legitimacy dilemma'. We circumvent these issues by proposing a context-aware
and data-driven software/hardware system that tracks physical money rather than
abstract transactions. The proposed system identifies banknotes by their unique
serial numbers, allowing a meta data component that accumulates further
contextual information to better detect unusual patterns of transactional
behaviours. In addition, using 'social network analysis', the system can be
used to predict future money laundering processes.