![]() Este diseño fue simulado con herramientas de Software Libre y verificado en hardware utilizando una FPGA Virtex 4 de Xilinx. Sobre el ejemplo de un pequeño web server, se hicieron modificaciones para dotarlo de un mecanismo capaz de leer y actualizar el estado de registros del AVR. En este trabajo, presentamos la implementación de un core microcontrolador AVR que incorpora un Media Access Controller (MAC) Ethernet, conectados utilizando Memory mapped I/O (MMIO), capaz de correr el stack TCP/IP uIP. En la actualidad, gracias a la proliferación de redes informáticas y dispositivos capaces de conectarse a las mismas, se puede optar por un control descentralizado utilizando una interfaz web. Para visualización de estado y configuración de dispositivos mediante una implementación sencilla, hasta hace pocos años, se precisaba una PC dedicada. The work also presents an alternative view on the non-payload-based obfuscation techniques, and demonstrates how they may be employed as a training data driven approximation of network traffic normalizer. Experiments reveal that utilized obfuscations are able to avoid attack detection by supervised classifier using ASNM features, and their utilization can strengthen the detection performance of the classifier by including them into the training process of the classifier. Then, tunneling obfuscation techniques as well as non-payload-based ones are proposed to apply as modifications of network attack execution. In the next part, original feature set, Advanced Security Network Metrics (ASNM) is presented, which is part of conceptual automated network intrusion detection system, AIPS. First, state-of-the-art datasets intended for evaluation of intrusion detection systems are described as well as the related works employing statistical analysis and machine learning techniques for network intrusion detection. ![]() The thesis deals with anomaly based network intrusion detection which utilize machine learning approaches.
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