- Все статьи 584
Статьи журнала - International Journal of Information Engineering and Electronic Business
Все статьи: 584
Статья научная
This paper proposed a possible next-generation e-commerce “Home Décor Marketplace” system with web 3.0 capabilities to disrupt the traditional furniture and home décor retail market in developing countries like Pakistan. This project involves the development of a B2B and B2C furniture and home décor e-commerce marketplace application. The platform will allow manufacturers and retailers to list and sell their products directly to consumers as well as to other businesses. One of the main objectives of the project is to provide a convenient and efficient platform for both buyers and sellers in the furniture and home decor industry. The document describes the research work, analysis, design, and development of the platform. The proposed e-commerce marketplace has been developed based on market research. The application has been designed to be compatible with various platforms such as Web, iOS, and Android, utilizing the Google Flutter development tool. It is secured using user authentication, and the features have been carefully chosen to meet the market demands and requirements. This research paper will discuss all the technologies and tools used to build and implement an Innovative Home Decor Shopping Experience-based e-commerce platform.
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Cybercrimes during COVID -19 Pandemic
Статья научная
COVID-19 pandemic has changed the lifestyle of all aspects of life. These circumstances have created new patterns in lifestyle that people had to deal with. As such, full and direct dependence on the use of the unsafe Internet network in running all aspects of life. As example, many organizations started officially working through the Internet, students moved to e-education, online shopping increased, and more. These conditions have created a fertile environment for cybercriminals to grow their activity and exploit the pressures that affected human psychology to increase their attack success. The purpose of this paper is to analyze the data collected from global online fraud and cybersecurity service companies to demonstrate on how cybercrimes increased during the COVID-19 epidemic. The significance and value of this research is to highlight by evident on how criminals exploit crisis, and for the need to develop strategies and to enhance user awareness for better detection and prevention of future cybercrimes.
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Damage Measurement of Collision Attacks on Performance of Wireless Sensor Networks
Статья научная
Wireless sensor networks (WSN) are widely developed to monitor different phenomena in a variety of areas including nature, medical centers, home automation, industrial and military applications. Such development in many different fields, raises important security issues related to the reliability of the WSNs. Due to the resource constrained nature of the WSNs, these networks are the target of many different types of attacks and prone to failure. In this paper, we consider the collision attack. An attempt has been made to measure the impact of the collision attack on the performance of WSNs under variety scenarios performed by the attackers. The main contribution of this paper is to present that although the attack does not consume much energy of the attacker, it can highly disrupt the normal operation of the target sensor networks. The implementation of the proposed attack model has been done by using NS2 network simulator.
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Data Center Strategy to Increase Medical Information Sharing in Hospital Information Systems
Статья научная
The sharing of medical information among healthcare providers is a key factor in improving any health care system. By providing opportunities for sharing and exchanging information and knowledge, data center, agent and ontology play a very important role in the field of medical informatics. In this paper, we propose a design of architecture and data center for the development of a Hospital information system (HIS) based on agents and ontology.
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Data Mining Based Hybrid Intelligent System for Medical Application
Статья научная
Hybrid intelligent system is a combination of artificial intelligence (AI) techniques that can be applied in healthcare to solve complex medical problems. Case-based reasoning (CBR) and rule based reasoning (RBR) are the two more popular AI techniques which can be easily combined. Both techniques deal with medical data and domain knowledge in diagnosing patient conditions. This paper proposes a hybrid intelligent system that uses data mining technique as a tool for knowledge acquisition process. Data Mining solves the knowledge acquisition problem of rule based reasoning by supplying extracted knowledge to rule based reasoning system. We use WEKA for model construction and evaluation, Java NetBeans for integrating data mining results with rule based reasoning and Prolog for knowledge representation. To select the best model for disease diagnosis, four experiments were carried out using J48, BFTree, JRIP and PART. The PART classification algorithm is selected as best classification algorithm and the rules generated from the PART classifier are used for the development of knowledge base of hybrid intelligent system. In this study, the proposed system measured an accuracy of 87.5% and usability of 89.2%.
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Data Modeling for E-Voting System Using Smart Card based E-Governance System
Статья научная
For a developing country like India, maintaining an efficient administration within affordable budget is a big challenge. The application of Information and Communication Technology (ICT) based E-Governance can facilitate the administration in much efficient and cost effective manner compared to the traditional method of administration. Since an efficient administration is dependent on the collection of opinion of its participants (i.e the voters), flawless voting mechanism becomes the primary pillar of governance. But in the present days of busyness, many people stay away from their voting constituency due to various compulsions, thereby giving rise to number of uncast votes to a significant level. In order to solve this problem, in this paper authors have extended the concept of multifaceted smart card oriented E-Governance system to propose bio-metric authentication based E-Voting system, where Bluetooth fingerprint scanner will be paired with the voter's smart phone to implement the proposed concept. This propose system will use a mobile application to input user identification number using the Multipurpose Electronic Card (MEC) based E-Governance system. In case of successful authentication, the voter will be allowed to caste the original vote, else it will be barred. Hence, this approach will prevent the malicious tendency of proxy voting using advanced authentication system. Since this proposed E-Voting system have to handle huge data traffic during its implementation, its database should be designed at first to reduce data redundancy and inconsistency as much as possible. Hence, in this paper, authors have designed its database system using Data Flow Diagram (DFD), Entity Relationship Diagram (ERD) to demonstrate the relationship between its primary entities and tables.
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