Bilal Zahran
Al-Balqa Applied University

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

A proposed cloud-based billers hub using secured e-payments system Belal Ayyoub; Bilal Zahran; Mahdi A. Nisirat; Farouq M. S. Al-Taweel; Mohammad Al Khawaldah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 1: February 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i1.15879

Abstract

Automation of several payment processes from start to end is a challenging task, particularly when multiple payments from online and offline billers are involved. In this paper, we introduced a new aggregator system to combine all billing system types, in which it is possible to pay invoices electronically. The proposed aggregator system was designed to be employed in a cloud-based Billers Hub (CBBH) developed by the central banks. Furthermore, many applications can be realized such as; deposit e-money, withdrawal e-money, and other applications. A Gateway translator is used to apply authentication rules, security, and privacy. The proposed system was employed in the Jordanian payment gateway and successfully fulfills its purpose.
Developing an expert system method for assessment of destructive information-psychological influence Bilal Zahran; Jamil AL-Azzeh; Andrii Gizun; Vladyslav Griga; Bogdana Bystrova
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1571-1577

Abstract

Nowadays solving practical problems in various sectors using intelligent solutions, based on expert systems are becoming more and more widespread. In this paper an expert system method is proposed for assessment and prediction of destructive influences. All disadvantages of existing assessment systems are taken into account during the development and analysis phases. The most important estimated parameters are determined. This method is based on quantitative methods of expert evaluation, which gives the advantage: there is no need to collect large amounts of statistical data and clear formalization of the current situation.