Ghassan Samara

Abdallah Moubayed, MohammadNoor Injadat, Nouh Alhindawi et al.

Analyzing and evaluating students' progress in any learning environment is stressful and time consuming if done using traditional analysis methods. This is further exasperated by the increasing number of students due to the shift of focus toward integrating the Internet technologies in education and the focus of academic institutions on moving toward e-Learning, blended, or online learning models. As a result, the topic of student performance prediction has become a vibrant research area in recent years. To address this, machine learning and data mining techniques have emerged as a viable solution. To that end, this work proposes the use of deep learning techniques (CNN and RNN-LSTM) to predict the students' performance at the midpoint stage of the online course delivery using three distinct datasets collected from three different regions of the world. Experimental results show that deep learning models have promising performance as they outperform other optimized traditional ML models in two of the three considered datasets while also having comparable performance for the third dataset.

Ghassan Samara

Nowadays, Vehicle Ad - hoc Nets (VANET) applications have become very important in our lives because VANET provides drivers with safety messages, warnings, and instructions to ensure drivers have a safe and enjoyable journey. VANET Security is one of the hottest topics in computer networks research, Falsifying VANET system information violates VANET safety objectives and may lead to hazardous situations and loss of life. In this paper, an Intelligent Reputation System (IRS) aims to identify attacking vehicles will be proposed; the proposed system will rely on opinion generation, trust value collection, traffic analysis, position based, data collection, and intelligent decision making by utilizing the multi-parameter Greedy Best First algorithm. The results of this research will enhance VANET's safety level and will facilitate the identification of misbehaving vehicles and their messages. The results of the proposed system have also proven to be superior to other reputational systems.

Ghassan Samara, Yousef Al-Raba'nah

Vehicular Ad Hoc Networks (VANET) is a technology that has been recently emerged, and bring a lot of interests. VANET can be used to improve road safety, reduce road traffic, serve interests of its users, and provide emergency services. The security is one of the most important issues in VANET, it is considered a critical point in the development of robust VANET systems. In this paper, a diverse types of security challenges and requirements of VANET will be discussed, and a set of possible solutions for VANET security problems and attacks will be presented and analyzed. Also this paper will propose a new protocol that is called the reply protocol, this protocol aims to protect VANET against several attacks.

Ghassan Samara

A programming language is a formally constructed language designed to communicate instructions to a machine, particularly a computer. Programming languages can be used to create programs to control the behavior of a machine or to express algorithms. Most programs that are written by programmers are often compiled correctly with no syntax or semantic errors. However, some other errors appear after the execution of the program (logical error). Logical Errors (LE) are errors that remain after all syntax errors have been removed. Usually, the compiler does not detect LE, so the produced results are different from what the programmer is expecting. For this reason, discovering and fixing the logical error is very hard and proposes a good topic for research and practice. Some LE are resulted from the misuse of classes' objects, and in Software Development Life Cycle (SDLC), it is considered that the software with LE is low-quality software with high maintenance cost. In this paper, an object-oriented environment that allows the programmer to detect and discover LE to avoid it. This environment will be called Object Behavior Environment (OBEnvironment) will enforce the correct use of objects according to their predefined behaviors by using tools like Xceed Component (that appeal .Net windows form developers for building better applications), Alsing Component (that provides an area to programmer that allows writing correct syntax code by C# language) and, Mind Fusion Component (that provides an area to programmer that allows drawing State Diagrams to show object state).

A. B. M. Shamsuzzaman Sadi, Towfique Anam, Mohamed Abdirazak et al.

The holy Quran is the holy book of the Muslims. It contains information about many domains. Often people search for particular concepts of holy Quran based on the relations among concepts. An ontological modeling of holy Quran can be useful in such a scenario. In this paper, we have modeled nature related concepts of holy Quran using OWL (Web Ontology Language) / RDF (Resource Description Framework). Our methodology involves identifying nature related concepts mentioned in holy Quran and identifying relations among those concepts. These concepts and relations are represented as classes/instances and properties of an OWL ontology. Later, in the result section it is shown that, using the Ontological model, SPARQL queries can retrieve verses and concepts of interest. Thus, this modeling helps semantic search and query on the holy Quran. In this work, we have used English translation of the holy Quran by Sahih International, Protege OWL Editor and for querying we have used SPARQL.

Ghassan Samara, Tareq Alhmiedat

The new type of Mobile Ad hoc Network which is called Vehicular Ad hoc Networks (VANET) created a fertile environment for research. In this research, a protocol Particle Swarm Optimization Contention Based Broadcast (PCBB) is proposed, for fast andeffective dissemination of emergency messages within a geographical area to distribute the emergency message and achieve the safety system, this research will help the VANET system to achieve its safety goals in intelligent and efficient way.

Ghassan Samara

Vehicular communication networks is a promising and emerging technology to facilitat road safety, Safety of life, traffic management, and infotainment dissemination for drivers and passengers. One of the ultimate goals in the design of such networking is to resist various malicious abuses and security attacks. In this research new security mechanisms are proposed to achieve secure certificate revocation, which is considered among the most challenging design objective in vehicular ad hoc networks.

Ghassan Samara

Vehicular Ad Hoc Networks (VANET) has mostly gained the attention of today's research efforts, while current solutions to achieve secure VANET, to protect the network from adversary and attacks still not enough, trying to reach a satisfactory level, for the driver and manufacturer to achieve safety of life and infotainment. The need for a robust VANET networks is strongly dependent on their security and privacy features, which will be discussed in this paper. In this paper a various types of security problems and challenges of VANET been analyzed and discussed; we also discuss a set of solutions presented to solve these challenges and problems.