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Avoiding Cybercrime Pandemic in Cashless Society using HMM

by Abdulrahman Abdulganiyu, Aliyu Y. Badeggi, Usman M. Gana
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 7
Year of Publication: 2012
Authors: Abdulrahman Abdulganiyu, Aliyu Y. Badeggi, Usman M. Gana
10.5120/9706-4157

Abdulrahman Abdulganiyu, Aliyu Y. Badeggi, Usman M. Gana . Avoiding Cybercrime Pandemic in Cashless Society using HMM. International Journal of Computer Applications. 60, 7 ( December 2012), 35-43. DOI=10.5120/9706-4157

@article{ 10.5120/9706-4157,
author = { Abdulrahman Abdulganiyu, Aliyu Y. Badeggi, Usman M. Gana },
title = { Avoiding Cybercrime Pandemic in Cashless Society using HMM },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 7 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 35-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number7/9706-4157/ },
doi = { 10.5120/9706-4157 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:05:56.944555+05:30
%A Abdulrahman Abdulganiyu
%A Aliyu Y. Badeggi
%A Usman M. Gana
%T Avoiding Cybercrime Pandemic in Cashless Society using HMM
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 7
%P 35-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Internet fraudulent activities are increasing dramatically in the availability of technology resources like telecommunication networks, mobile communications, and E-commerce. Fraud is a major problem in electronic payment systems. With this increased availability has come a new form of criminal activity that takes advantage of electronic payment system, namely cybercrime, mobile-crime, SIM-crime and computer fraud. Currently, these new forms of crime are burgeoning and pose a new and challenges to researchers,merchant, customers and the law enforcement agencies. In this paper we discus types of electronic payment, we propose an effective method of detecting and preventing unauthorized cybercriminals from gaining access to several devices and technologies used in electronics payment by using Hidden Markov Model, also we take care not to prevent genuine transaction not to be rejected.

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Index Terms

Computer Science
Information Sciences

Keywords

SIM-crime E-payment E-cash Cyber criminals Enabling technologies Cashless society

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