Alaa Obeidat - Academia.edu (original) (raw)

Papers by Alaa Obeidat

Journal of Internet Services and Information Security

In the sales business, the ultimate goal is to derive more sales and increase the profits for int... more In the sales business, the ultimate goal is to derive more sales and increase the profits for interested stakeholders. Maximizing profit margins from highly demanding products is one of their major objectives. Nowadays, there are varieties of intelligent systems available, which can guide the business owners, entrepreneurs, or managers to make smart decision and lead their business towards success. Out of different options, this research study explores the possibility and elaborates on how their objectives can be achieved through a genetic algorithm? The proposed approach can be adopted by businesses to increase their profits by enhancing low profit yielding products sales using optimized Genetic Algorithm. Initially groups are defined by adding products with high and low sales. After applying the proposed genetic algorithm, a “bundle of three” offers are traced out, to promote the product with poor sales history This study helps the businesses with a decision support model to maxim...

Journal of Electrical and Computer Engineering, Dec 15, 2022

Today, botnets are the most common threat on the Internet and are used as the main attack vector ... more Today, botnets are the most common threat on the Internet and are used as the main attack vector against individuals and businesses. Cybercriminals have exploited botnets for many illegal activities, including click fraud, DDOS attacks, and spam production. In this article, we suggest a method for identifying the behavior of data trafc using machine learning classifers including genetic algorithm to detect botnet activities. By categorizing behavior based on time slots, we investigate the viability of detecting botnet behavior without seeing a whole network data fow. We also evaluate the efcacy of two well-known classifcation methods with reference to this data. We demonstrate experimentally, using existing datasets, that it is possible to detect botnet activities with high precision.

Bulletin of Electrical Engineering and Informatics

Information communication and technology has great impact on modern education architecture of 21s... more Information communication and technology has great impact on modern education architecture of 21st century. This research intends to analyze the effectiveness of blended learning considering its basic principles and factors. Also, this study is focused on determining core problems of blended learning thus highlighting its design approach. A descriptive and inferential statistical analysis has been conducted on the data that reveal that the majority of students prefer blended learning system regardless their major, gender and any other factors if they have good infrastructure and effective electronic platform. It is recommended that for effective implementation of blended system there should be opportunities of face to face as well as online synchronous, and non-synchronous communication between students and teachers.

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL

The network field has been very popular in recent times and has aroused much of the attention of ... more The network field has been very popular in recent times and has aroused much of the attention of researchers. The network must keep working with the varying infrastructure and must adapt to rapid topology changes. Graphical representation of the networks with a series of edges varying over time can help in analysis and study. This paper presents a novel adaptive and dynamic network routing algorithm based on a Regenerate Genetic Algorithm (RGA) with the analysis of network delays. With the help of RGA at least a very good path, if not the shortest one, can be found starting from the origin and leading to a destination. Many algorithms are devised to solve the shortest path (SP) problem for example Dijkstra algorithm which can solve polynomial SP problems. These are equally effective in wired as well as wireless networks with fixed infrastructure. But the same algorithms offer exponential computational complexity in dealing with the real-time communication for rapidly changing networ...

International Journal of Scientific & Technology Research, 2020

Maximizing profits from products that one sells in a given marketplace is the main goal of any ma... more Maximizing profits from products that one sells in a given marketplace is the main goal of any manager, entrepreneur, or a marketer who wants to make his business a success. This study aims at illustrating how this can be made possible by use of genetic algorithms. The proposed approach can be used by managers and marketers to maximize profits by increasing sales of products through optimization of the genetic algorithm (GA). The optimization results to greater accuracy in prediction and improves classification of the products in groups. Each group contains products with high sales and low sales. Then after applying the GA operations we will generate groups of three items and the manager then can make a promotion to sell these products together and improve the sales of products that are not selling well. This research seeks to provide manages with decision support model which will help them maximize sales and profits resultantly. Optimization using genetic algorithms is done in this...

International Journal of Advanced Computer Science and Applications, 2020

Learning is the utilization of the electronic technologies and the media to deliver the education... more Learning is the utilization of the electronic technologies and the media to deliver the educational content to the learners, enabling them to interact actively with the content, the teachers, and their peers. Students' interaction can be either synchronous or asynchronous or a combination of both. One advantage of the e-learning is that learners can access the educational content at any place and time saving them effort, time, and cost. To deal with the unprecedented crisis of COVID-19 and the risk of virus transmission in the public, the vast majority of higher learning institutions globally were locked out and the delivery of the educational content moved from the traditional classroom teaching to the internet. The purpose of this study was to assess students' perceptions of the effectiveness of the e-learning during COVID-19 pandemic at the Hashemite University, Jordan. A total of 399 students completed the online survey of the study. Study results showed that students' overall evaluation of their elearning experiences were generally positive. However, students reported that they faced problems in the e-learning experiences of which most were related to technical issues (e.g., lack of a viable internet network, lack of laptops, etc.). Microsoft Teams was the platform most preferred by students for e-learning and the majority of students accessed the educational content using smart phones. Only gender and student's academic specialty had significant associations with their perceptions of the effectiveness of the e-learning.

Proceedings of the First International Conference on Advances in Computer and Information Technology, 2012

The field of Networks has gained an important part of the interest of researchers and has become ... more The field of Networks has gained an important part of the interest of researchers and has become very popular in the last few years. The network must operate without fixed infrastructure and can survive rapid changes in the topology. It can be studied formally as a graph in which the set of edges varies in time. I propose a new adaptive and dynamic routing algorithm for networks inspired by the genetic algorithm (GAR) in combination with network delay analysis. Using GAR we can find, if not the shortest, at least a very good path between the source and the destination. There are several algorithms for the shortest path (SP) problem: one of them is the Dijkstra algorithm. Since these algorithms can solve SP problems in polynomial time, they are efficient in fixed infrastructure wireless or wired networks. However, they exhibit unacceptably high computational complexity for real-time communications involving rapidly changing network topologies. It is anticipated that genetic algorithm GA can efficiently and dynamically give consistent better solutions regardless of: The network topology, The change in the network, removing any node, or link from the network, The volume of the network (if there are many paths).

Ain Shams Engineering Journal