Mirosław Mazurek

Network Anomaly Detection Based on the Statistical Self-similarity Factor

The actual network traffic is self-similar or long-range dependent. Self-similarity analysis and anomaly detection in networks are interesting field of research and scientific work of scientists around the world. Simulation studies have demonstrated that the Hurst parameter estimation can be used to detect traffic anomaly—the Hurst values are compared with confidence intervals of normal values to detect anomaly in few kinds of traffic: TCP, UDP. The dramatic expansion of applications on modern networks gives rise to a fundamental challenge to network security. Therefore, it is important to reduce the burstiness for better network performance, and thereby detect traffic anomalies.

Simulation of reconfiguration problems in sensor networks using OMNeT++ software

The paper presents a comparative analysis of reallocation algorithms in a structure of wireless sensor network in the event of a failure of network nodes. The article contains detailed research results of wireless sensor networks technology, with particular emphasis on thte network-layer protocols - routing protocols. In the research the simulation environment OMNeT++ was used to study the properties of reconfiguration and reallocation problems in the wireless sensor networks.

Designing of multichannel optical communication systems topologies criteria optimization

Due to great value of the time constant of the integrator circuit, a hardware defined PWM (Pulse Width Modulation) signal makes it possible to build a Digital to Analog Converter (DAC) characterized by a relatively long response time. An attempt at creating the software defined PWM signal leads to increased response time of the DAC converter with a coefficient several hundred times longer than its hardware equivalent. Reorganization of the PWM signal allows for its software synthesis, in that the response time of the DAC converter is only several times larger than its classical equivalent.In the paper we present short profile of different compositions of many-layered applications. We compare speed and stability of the different sets of applications. We describe a configuration which can be used to create a server of scientific information. The application consists of MySQL database management system, http server (Apache) and PHP language. All operate in the Linux environment.

Consistency-Driven Pairwise Comparisons Approach to Software Product Management and Quality Measurement

In this study, the software product quality measurement, based on the consistency-drive pairwise comparisons (PC) is proposed as a new way of approaching this complicated problem. The assessment of software quality (SQ) is a complex process. It is usually done by experts who use their knowledge and experience. Their subjective assessments certainly involve inaccuracy (which is difficult to control) and consistency of assessments (which can be measured and may influence accuracy). The inconsistency analysis, which is proposed in this approach, is used to improve assessments. Weights, reflecting the relative importance of the attributes, are computed as opposed to the commonly practiced arbitrary assignment. The PC method allows to define a consistency measure and use it as a validation technique. A consistency-driven knowledge acquisition, supported by a properly designed software, contributes to the improvement of quality of knowledge-based systems.