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GLOBAL DIGITAL LIBRARY
Global Digital Library provides an opportunity to the researchers to access high-quality content published in our conferences, journals, and books.
Volume 2, Issue 1, June 2017
A Hybrid Model for Usability of Mobile Applications
Rabia Afzal Minhas, Khola Rafique, Ali Javed, Muhammad Awais Azam
AbstractThe success of mobile applications depends upon its usability. Of all the non-functional requirements, usability dimension is the foremost requirement for mobile applications. The usability of mobile applications should be high so that users can interact with them easily. There have been many models proposed that help developers make mobile applications more usable. But they did not address all the issues. In our paper, we propose a framework which is hybrid of multiple models including ISO, Moe, Voelle, Nielsen Zhang, and PACMAD models. In this paper, we also introduce a novel feature “Waste-app” for efficient utilization of memory. It automatically cleans up cache and the apps that have been in use for a long time. The proposed methodology shows that inclusion of this new feature and the new hybrid model gives better results in usability aspects.
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Evaluation of the MPeersim – A Simulation Environment for Mobile Networks
M Adeel, L N Tokarchuk, M A Azam, S K A Khan
AbstractMPeersim is a simulation environment for mobile and mobile P2P networks. It simulates different types of mobile nodes and communication technologies such as Bluetooth, MMS, and SMS. With a primary emphasis of evaluation of MPeersim in terms of simulation statistics, this paper will elaborate on various MPeersim functionalities in context of availability of generic, node, and network-specific simulation parameters, node and network-specific statistics available for various types of analyses, and on the capabilities of MPeersim in terms of presenting empirical data in different formats including graphs and visualisations for monitoring purposes. Providing a comprehensive understanding of the relationship between parameters and statistics will assist researchers in planning for developing simulation environments.
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Technical Evaluation of the Functionality of Popular Mobile Payment Protocols
Munir Hussain, Syed Usman Jamil
AbstractToday, mobile commerce flexibility has totally changed businesses in the world due to easy mobile-based online bookings and payments. Its implementation is not limited to any single area but it can be utilized in all sorts of situations and organizations in various ways. It can be utilized in banking, electronic publication distribution, online sales, online payments for different utility bills and online booking of airlines etc. These kinds of online booking, buying and selling, and their payment services are available to anyone 24/7 in the world. When using these types of facilities, one needs to understand and study different types of characteristics of this new technology i.e., it is important to understand different modes of payments, various technologies using mobile payment system, and different M-commerce payment protocols. As we know, energy consumption is a critical issue in M-commerce, so it is important to reduce battery power consumption as much as possible. In this paper, we will explore some of the most popular mobile payment protocols step-by-step to fully understand their working environment.
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On the Collection of Statistical Parameters on Mobile Phones for Detection of Security Attacks and Mobile Malware
M Adeel, L N Tokarchuk, M A Azam, S K A Khan
AbstractCommunication between mobiles using technologies like Bluetooth, MMS, SMS, Mobile and Home Broadband can increase their susceptibility to mobile security threats. In the past few years, mobile malware has emerged as one of the major threats for modern-day mobile devices. Since the first malware outbreak in 2004, hundreds of mobile viruses, worms, Trojans and spyware and over thousands of their variants have been discovered. With such a large number of ever-evolving malware, it is challenging to develop an electronic system capable of detecting such malware. In this work, the statistical data generated as a consequence of interactions on mobile devices and the mechanism of recording this data against statistical parameters on mobile devices is discussed. We also provide a detailed taxonomy of the low and high-order statistical parameters and discuss how these parameters (besides utilisation in other scenarios) can be affectively utilised in the detection of a variety of security attacks and malware types.
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