Developing Countries are gradually transiting from cash to an electronic based economy by virtue of cashless policy implementation. With this development, cyber criminals and hackers who hitherto attacked businesses and individuals across the Atlantic now see this development as a new venture for their criminal acts and are thus re-directing their energies towards exploiting possible loopholes in the electronic payment system in order to perpetuate fraud. In this paper, we proposed an enhanced approach to detecting phishing attempts and preventing unauthorized online banking withdrawal and transfer. We employed the use of Semantics Content Analysis, Earth Mover Distance and Biometric Authentication with finger print to construct a model. We demonstrated the efficacy of the implemented model with the experiments conducted, a good and considerable result was achieved.
%0 Journal Article
%1 IJACSA.2013.040325
%A Yusuf Simon Enoch Adebayo Kolawole John, Adetula Emmanuel Olumuyiwa
%D 2013
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K Cybercrime; Identify Security; attack; authentication; theft
%N 3
%T Mitigating Cyber Identity Fraud using Advanced Multi Anti-Phishing Technique
%U http://ijacsa.thesai.org/
%V 4
%X Developing Countries are gradually transiting from cash to an electronic based economy by virtue of cashless policy implementation. With this development, cyber criminals and hackers who hitherto attacked businesses and individuals across the Atlantic now see this development as a new venture for their criminal acts and are thus re-directing their energies towards exploiting possible loopholes in the electronic payment system in order to perpetuate fraud. In this paper, we proposed an enhanced approach to detecting phishing attempts and preventing unauthorized online banking withdrawal and transfer. We employed the use of Semantics Content Analysis, Earth Mover Distance and Biometric Authentication with finger print to construct a model. We demonstrated the efficacy of the implemented model with the experiments conducted, a good and considerable result was achieved.
@article{IJACSA.2013.040325,
abstract = {Developing Countries are gradually transiting from cash to an electronic based economy by virtue of cashless policy implementation. With this development, cyber criminals and hackers who hitherto attacked businesses and individuals across the Atlantic now see this development as a new venture for their criminal acts and are thus re-directing their energies towards exploiting possible loopholes in the electronic payment system in order to perpetuate fraud. In this paper, we proposed an enhanced approach to detecting phishing attempts and preventing unauthorized online banking withdrawal and transfer. We employed the use of Semantics Content Analysis, Earth Mover Distance and Biometric Authentication with finger print to construct a model. We demonstrated the efficacy of the implemented model with the experiments conducted, a good and considerable result was achieved.},
added-at = {2014-02-21T08:00:08.000+0100},
author = {{Yusuf Simon Enoch Adebayo Kolawole John}, Adetula Emmanuel Olumuyiwa},
biburl = {https://www.bibsonomy.org/bibtex/27bb8e9d94d74305124fff612033bc246/thesaiorg},
interhash = {f9b8c5f4501514c501a99d441b0a9b08},
intrahash = {7bb8e9d94d74305124fff612033bc246},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
keywords = {Cybercrime; Identify Security; attack; authentication; theft},
number = 3,
timestamp = {2014-02-21T08:00:08.000+0100},
title = {{Mitigating Cyber Identity Fraud using Advanced Multi Anti-Phishing Technique}},
url = {http://ijacsa.thesai.org/},
volume = 4,
year = 2013
}