Thesis

Steganography is the art of hiding and transmitting data through apparently innocent carriers in an effort to conceal the existence of data. Text, image or audio in an Audio Video Interleave (AVI) multimedia file is adopted in this work.In the first step in this work, AVI file is separated into two parts, video and audio. The video part is a stream of frames, each frame is taken as a separated image stored in a separated Bit-Map (BMP) file.

The problem of handwritten recognition considered to be very important problem because of its numerous applications and theoretical values in the domain of pattern recognition.In this research, models of Neural Networks are used to recognize written characters, applying Artificial Neural Network (ANN) of three types, which are: - Kohenen All Classes in One Network (ACON), Kohenen  One Class in One Network(OCON), and Learning Vector Quantization (LVQ).The feature extraction process made use of Haar Wavelet Transformation to extract the parametric features of the

     The amount of information on the Web is growing rapidly, as well as the number of new users inexperienced in the art of Web research, which leads to the development of many Web applications called search engines specialized in helping the user in finding the information needed on the Web. Web site search engine is software used for searching a specific Web site for a specific query. This research aims to develop a Web site search engine that helps the user to find the most relevant Web pages with the user queries.

Network operators and administrators have a substantial interest to trace the state and performance of their networks and their components. Administrators needed to observe users to avoid any attack attempts. This can be done through System Monitoring.Traditional types of monitoring system include Anomaly Detection, Misuse Detection and Target Monitoring. This work concerns with the evelopment of two types of target monitoring works under windows environments.