Osama Rababah

Key Factors for Developing a Successful E-commerce Website

The most experienced and successful E-commerce companies are beginning to realize that key determinants of success or failure are not merely a web presence or low price but delivering on a high quality website. To attain the desired quality of website software, it is necessary to produce a framework and model that enables evaluation of a website’s quality. This paper defines and categorizes the quality factors for measuring an Ecommerce website. The software is an essential part of the Ecommerce website. The ISO 91261 standard for software engineering product quality states that the main purpose of software quality evaluation is to supply referential quantitative results for software products that are reliable, understandable and acceptable. According to Larsson (2004), quality factors are primarily attributes of the software that are often labeled as “non-functional requirements.” The key challenge of these attributes is the lack of a formal specification of a means of measurement. This paper provides a framework to establish quality factors in terms of attributes, in addition to their level of importance based on the opinion of highly-skilled professionals. The primary goals are identifying, qualifying, categorizing and ranking these factors.

Web Threats Detection and Prevention Framework

The rapid advancement in technology and the increased number of web applications with very short turnaround time caused an increased need for protection from vulnerabilities that grew due to decision makers overlooking the need to be protected from attackers or software developers lacking the skills and experience in writing secure code. Structured Query Language (SQL) Injection, cross-site scripting (XSS), Distributed Denial of service (DDos) and suspicious user behaviour are some of the common types of vulnerabilities in web applications by which the attacker can disclose the web application sensitive information such as credit card numbers and other confidential information. This paper proposes a framework for the detection and prevention of web threats (WTDPF) which is based on preventing the attacker from gaining access to confidential data by studying his behavior during the action of attack and taking preventive measures to reduce the risks of the attack and as well reduce the consequences of such malicious action. The framework consists of phases which begin with the input checking phase, signature based action component phase, alert and response phases. Additionally, the framework has a logging functionality to store and keep track of any action taking place and as well preserving information about the attacker IP address, date and time of the attack, type of the attack, and the mechanism the attacker used. Moreover, we provide experimental results for different kinds of attacks, and we illustrate the success of the proposed framework for dealing with and preventing malicious actions.

Ranking quality factors for measuring web service quality

In the emerging electronic environment, knowing how to measure Web service quality is of great importance. To attain the desired quality of Website services, it is necessary to produce a framework that enables evaluation of a web service quality. This paper defines and categorizes the quality factors for measuring web service quality. Moreover, the paper includes a framework to establish quality factors in terms of attributes, in addition to their level of importance based on the opinion of highly-skilled professionals. The primary goals are identifying, qualifying, categorizing and ranking these factors. These factors would be used to give indications for the improvement of the web services quality.

Building a Trust Model for Social Network

The revolution in information technology and the use of the internet changed the lifestyle of people. A major change was in the way of shopping. Companies started to offer their products online using social network s and people started to buy from the internet. Using social network has many benefits to the users starting from exploring a large variety of products to the very first way of ordering and the availability of the products 24 hours a day. One of the main problems that is found in using a social network is trusting the using social network social network s. the student concern about trusting to buy from the using social network social network s. Trust is a major concern for the merchant too; his concern is how to gain the student trust and to keep it. Many factors play a major role in acquiring the student trust in the online market. These factors rely on the social network characteristics such as design, interactivity and age and other factors vary from the social network quality, service quality, security policy of the social network, the privacy policy, the guarantee offered, the satisfaction of the user, the ease of use, the risk aversion and the culture factors. This study introduces the trusting affecting factors mentioned above and their effect on the trustworthiness factors (ability, benevolence, and integrity) a trust model has been built to show the relation between these factors and the trustworthiness factors.

Assessing the Quality of E-Services Software Using Artificial Intelligent Techniques

Computer applications, termed e-services, are being developed to offer efficient access to services, by electronic means. Quality of e-service is one of the major aspects that play a key role in the success or failure of online organizations. It improves the competitive advantages and mends the relations with clients and increases their gratifications. E-services are becoming progressively pervasive, and this development has been supplemented by augmented professional interest in measuring and handling online service quality. This interest is also echoed in a large number of academic studies. In spite of this, there is a slight agreement about the dimensions and antecedents of perceived e-service quality. Assessing e-service quality come to be industry or context dependent in which, it may raise problems to create a global measure. To tackle this issue, several website quality models have been established, with a congruently huge literature. This paper provides a review of this literature as well as recommends a new vision to develop measurement scales for e-service quality based on artificial intelligent technique.