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Intrusion detection datasets play a key role in fine tuning Intrusion Detection Systems (IDSs). Using such datasets one can distinguish between regular and anomalous behavior of agiven node in the network. To build this dataset is not straightforward, though, as only the most significant features of the collected data for detecting the node's behavior should be considered. We propose in this paper a technique for selecting relevant features out of KDD99 using a hybrid approach toward an optimal subset of features. Unlike existing work that only detect attack or no attack conditions, our approach efficiently identifies which sort of attack each register in the dataset refers to. The evaluation results show that the optimized subset of features can improve performance of typical IDSs.

An efficient and simplified procedure is proposed for the reduction of high-frequency oscillations and erroneous magnitude peaks in electromagnetic transient simulations in power transmission systems modelled by the lumped electric parameters approach. This procedure consists of the inclusion of analogue filters in the equivalent representation of multiconductor transmission lines without modifying its electromagnetic propagation characteristics. The analogue filter modelling is conducted as a function of the line length and line parameters. The proposed simulation methodology is applied directly in the line modelling, which means that the filtering/correction process represents a real-time process during simulations, without post-processing filtering techniques using digital filters or variations in the solution methods. The results obtained directly in the time domain by the proposed modelling/simulation methodology are compared with simulations obtained from well-established line models using the numerical Laplace transform and the Bergeron method.

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OpenIPMC is a free and open source firmware designed to operate as an Intelligent Platform Management Controller (IPMC). An IPMC is a fundamental component of electronic boards conformant to the Advanced Telecommunications Computing Architecture (ATCA) standard, currently being adopted by a number of high energy physics experiments, and is responsible for monitoring the health parameters of the board, managing its power states, and providing board control, debug and recovery functions to remote clients. OpenIPMC is based on the FreeRTOS real-time operating system and is designed to be architecture-independent, allowing it to be built for a variety of different Microcontrollers. Having a fully free and open source code is an innovative aspect for this kind of firmware, allowing full customization by the user. In this work we present the features and structure of OpenIPMC and its example implementations on Xilinx Zynq UltraScale+ (ZynqUS+), Espressif ESP32, and ST Microelectronics STM32 architectures.

The Address Resolution Protocol (ARP) is used to map IP addresses to MAC addresses in local area networks. This protocol has some security vulnerabilities and one of them is the Man-in-the-Middle (MITM) attack. Software-Defined Networks (SDNs) represent an innovative approach in the area of computer networks, since they propose a new model to control forwarding and routing data packets that navigate the Internet. This paper presents the module L3-ARPSec, a set of instructions written in the Python programming language that proposes a way to control the switching of ARP messages and also mitigates the MITM attack in local area networks.