Gaby Abou Haidar

High Perception Intrusion Detection System Using Neural Networks

Computer networks threats are becoming one the most widely debated issues worldwide. Various types of attacks are generated periodically and in an increasing scale alarming and threatening networking security issues. This is leading tone serious and fast development of feasible techniques for developing effective Intrusion Detection Systems (IDSs). In this context, some of the widely used and tested IDSs are discussed. Anomaly-based network intrusion detection techniques are getting the attention in most of the networking fields to protect network systems against malicious acts, providing a good security level especially with the integration of neural networks in the detection systems which provided advanced methods of threats investigation and detection. This paper emphasizes the importance of anomaly-based intrusion detection techniques, the important outcomes of these systems, latest developed methods and what is expected from the future experiments in this field. Moreover, the technique of learning user profiles effects in detecting intrusions will be discussed. Finally, the lights will be shed on an offline approach using Multi Layer Perceptron (MLP) and Self Organizing Maps(SOM) which is a distinguished method in intrusion detection.

Simulation of DPCM and ADM Systems

Through years, Digital Communication systems, Pulse Coded Modulation (PCM), Linear Delta Modulation (LDM), Differential Pulse Coded Modulation (DPCM), and Adaptive Delta Modulation (ADM), have proven their unlimited advantages over analog communication systems, in term of error minimization, and distances of transmission enhancement. However two of these systems, the Pulse Coded Modulation and Linear Delta Modulation, still have some weaknesses limiting their advantages, these limitations negatively affect the communication process causing quantization error, slope overload distortion and granular noise. On the other hand, communication engineers have developed two additional digital communication systems which are the Adaptive Delta Modulation (ADM) and the Differential Pulse Coded Modulation (DPCM) in order to solve the aforementioned problems. This paper discusses the implementation and simulation of the aforementioned digital communication systems using Simulink (The Math Works, Inc., Natick, MA, USA) showing the effect of different types of noise when applied to the channel, thus, proving the importance of DPCM and ADM systems in eliminating such effects and ensuring a successful transfer of data.

Remote Generator Control Using Android Application

The traditional technique of monitoring an electric generator was through regular checks on the generators variables: oil, temperature, voltage, and current on a daily basis. Therefore, keeping a normal cycle of performance requires hard work and is often imprecise. The paper presents the solution for the aforementioned issues and more. The idea is to initialize an application that monitors electric generators wireless, using the famous Smart Phone operating system Android. The implemented sensors deliver analog signals that provide real time data about the generators status. These data are converted and programmed though the Arduino microcontroller, which outputs the results in its digital state and then transforms the output into a serial signal, transmitted to the android phone, through a router. Thus a live feedback of the state of the generator is assured. In addition, this project provides a control button that can actually turn this generator on and off. This project is the first step towards the combination of systems and control because it revolutionizes the ideology of monitoring and displaying real time data which can be implemented in various fields depending on different needs. Such fields include electricity, mechanics, and communication. The main limitation faced was the lack of advanced electronics, and technology.

Real-time application of DPCM and ADM systems

Digital communication techniques make the process of modulating a message feasible for transmission. However, a common problem with commonly used techniques, such as Pulse Coded Modulation (PCM) and Linear Delta Modulation (LDM), is that they negatively affect the communication process by causing quantization error, slope overload distortion, and granular noise. This paper discusses the implementation of two modulation systems, Adaptive Delta Modulation (ADM) and Differential Pulse Coded Modulation (DPCM), in order to solve the aforementioned problems. The latter solves the quantization error faced by the PCM and the former solves the slope overload distortion and granular noise faced by LDM. These two systems are implemented using Simulink (The Math Works, Inc., Natick, MA, USA) on a multithreaded processor computer, are tested in real-time, and are subjected to different kinds of noise.

A comparative simulation study of the real effect of PCM, DM and DPCM systems on audio and image modulation

In order for a message to be feasible for transmission, it has to pass through an essential process which is “modulation”. Through years, Pulse Code Modulation (PCM), Delta Modulation (DM) and Differential Pulse Code Modulation (DPCM), in digital communication systems, have proven their unlimited advantages over analog communication systems, in terms of error minimization and distances of transmission enhancements. However, Pulse Code Modulation system still has some weaknesses limiting its advantages; these limitations cause quantization error, slope overload distortion and granular noise which are results of negative communication process. Since Delta Modulation is a simplified version of Pulse Coded Modulation, it has to have the same negative points related to noise and quantization. Consequently, communication engineers have developed additional digital communication systems, one of which is the Differential Pulse Coded Modulation (DPCM) in order to solve the aforementioned problems. This paper discusses the implementation of the aforementioned systems using Simulink (The Math Works, Inc., USA) on a multithreaded processor computer. The systems are to be tested on both image and audio inputs, to prove the importance of DPCM over PCM system in eliminating such effects and ensuring a successful transfer of data.