Rui Ferreira Neves

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Due to our increasing reliance on computer systems, security incidents and their causes are important problems that need to be addressed. To contribute to this objective, the paper describes a new tool for the discovery of security vulnerabilities on network connected servers. The AJECT tool uses a specification of the server's communication protocol to(More)
The increasing reliance put on networked computer systems demands higher levels of dependability. This is even more relevant as new threats and forms of attack are constantly being revealed, compromising the security of systems. This paper addresses this problem by presenting an attack injection methodology for the automatic discovery of vulnerabilities in(More)
The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. The presented paper proposes a new approach, based on Intelligent Computation, in particular genetic algorithms, which aims to manage a financial portfolio by(More)
This paper describes a new computational finance approach. This approach combines pattern recognition techniques with an evolutionary computation kernel applied to financial markets time series in order to optimize trading strategies. Moreover, for pattern matching a template-based approach is used in order to describe the desired trading patterns. The(More)
This paper presents a new computational finance approach, combining a Symbolic Aggregate approXimation (SAX) technique together with an optimization kernel based on genetic algorithms (GA). The SAX representation is used to describe the financial time series, so that, relevant patterns can be efficiently identified. The evolutionary optimization kernel is(More)
In this paper a new multi-objective approach for the routing problem in Wireless Multimedia Sensor Networks (WMSNs) is proposed. It takes into account Quality of Service (QoS) requirements such as delay and the Expected Transmission Count (ETX). Classical approximations optimize a single objective or QoS parameter, not taking into account the conflicting(More)
This paper presents the system-level design of a wireless receiver’s analog baseband front-end, which satisfies the standards of 4G mobile communications. An analysis of different topologies for wireless receivers suited for multistandard purposes is performed. The Zero-IF architecture is chosen and design issues of analog baseband blocks are outlined,(More)
This paper presents a new computational finance approach, combining a Symbolic Aggregate approXimation (SAX) technique together with an optimization kernel based on genetic algorithms (GA). The SAX representation is used to describe the financial time series, so that, relevant patterns can be efficiently identified. The evolutionary optimization kernel is(More)
This paper proposes a new medium/long term investment strategy for stock markets based on a combination of Simple Moving Averages Crossover (SMAC) and Moving Average Derivate (MAD). This strategy is compared with the Buy and Hold, with the Moving Averages Crossover, and with the Moving Average Derivate strategy. The experiments show that the combination of(More)