Virtual Private Network (VPN) technology provides a way of protecting information being transmitted over the Internet, by allowing users to establish a virtual private “tunnel” to securely enter an internal network, accessing resources, data and communications via an insecure network such as the Internet. A VPN is a communications environment in which access is controlled to permit peer connections only within a defined community of interest, and is constructed though some form of partitioning of a common underlying communications medium, where this underlying communications medium provides services to the network on a nonexclusive basis. arabic 6 English 50
Mariam Abojela Msaad, Amer R. Zerek, Hana H. saleh(1-2012)

Deoxyribonucleic acid (DNA) micro-arrays present a powerful means of observing thousands of gene terms levels at the same time. They consist of high dimensional datasets, which challenge conventional clustering methods. The data’s high dimensionality calls for Self Organizing Maps (SOMs) to cluster DNA micro-array data. The DNA micro-array dataset are stored in huge biological databases for several purposes . The proposed methods are based on the idea of selecting a gene subset to distinguish all classes, it will be more effective to solve a multi-class problem, and we will propose a genetic programming (GP) based approach to analyze multi-class micro-array datasets. This biological dataset will be derived from multiple biological databases. The procedure responsible for extracting datasets called DNA-Aggregator. We will design a biological aggregator, which aggregates various datasets via DNA micro-array community-developed ontology based upon the concept of semantic Web for integrating and exchanging biological data. Our aggregator is composed of modules that retrieve the data from various biological databases. It will also enable queries by other applications to recognize the genes. The genes will be categorized in groups based on a classification method, which collects similar expression patterns. Using a clustering method such as k-mean is required either to discover the groups of similar objects from the biological database to characterize the underlying data distribution. arabic 10 English 60
Mariam Abojela Msaad, Zakaria Suliman Zubi(1-2010)

Biometric systems have a powerful potential to provide security for a variety of applications, systems are nowadays being introduced in many applications and have already been deployed to protect personal computers, Banking machines, credit cards, electronic transactions, airports, high security institutions like nuclear facilities, Military Bases and other applications like borders control, access control, sensitive data protection and on-line tracking systems. While biometrics may improve security in different environments and serve many purposes, biometric systems, like any other security system, have vulnerabilities and are susceptible to threats. they are susceptible to external vulnerabilities of biometric systems so that their weaknesses can be found and useful countermeasures against foreseeable attacks can be developed The increasingly high profile use of biometrics for security purposes has provoked new interest in researching and exploring methods of attacking biometric systems.
Abdulmonam Omar Ahmed Alaswad, Ahlal H. Montaser, Fawzia Elhashmi Mohamad(0-2014)