Antonio Mendez Gonzalez

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One of the major problems of academic research is the un-availability of appropriate tools where researchers can develop and evaluate their ideas. Research groups tend to spend a significant amount of time in developing tools which results in an abundance of incomplete tools which do not provide sufficient features for other groups to use. Often these tools(More)
PURPOSE To investigate the correlation and stationarity of noise in volumetric computed tomography (CT) using the local discrete noise-power spectrum (NPS) and off-diagonal elements of the covariance matrix of the discrete Fourier transform of noise-only images (denoted Σ(DFT)). Experimental conditions were varied to affect noise correlation and(More)
  • Antonio Gonzalez, Pastana Lobato, Ulisses Da, Rocha Figueiredo, Martin Andreoni Lopez, Otto Carlos Muniz +3 others
  • 2013
The technique of network virtualization allows multiple networks to coexist on the same physical substrate, catering to different requirements. However, network virtualization still presents major challenges in security and resources management. This paper proposes an elastic architecture for intrusion prevention in virtual networks. The proposal combines(More)
  • Antonio Gonzalez, Pastana Lobato, Martin Andreoni Lopez, Otto Carlos, M B Duarte
  • 2016
—The late detection of security threats causes a significant increase in the risk of irreparable damages, disabling any defense attempt. All attacks leave detectable traces, even though most of them are complex and very hard to analyze. This paper proposes a real-time threat detection system based on stream processing and machine learning algorithms. The(More)
  • Martin Andreoni Lopez, Ulisses Da, Rocha Figueiredo, Antonio Gonzalez, Pastana Lobato, Otto Carlos Muniz +2 others
  • 2014
Intrusion Detection and Prevention Systems are fundamental to inspect real-time network traffic, seeking abnormal patterns caused by intruders or insider misuse, to ensure communication systems security. Moreover, this is the only effective mechanism to detect attacks from internal authenticated users. This paper proposes BroFlow, an Intrusion Detection and(More)
  • Antonio Gonzalez, Pastana Lobato, Martin Andreoni Lopez, Otto Carlos Muniz, Bandeira Duarte
  • 2016
The late detection of security threats causes a significant increase of the risk of irreparable damages, disabling any defense attempt. Although very hard to analyze, attacks always leave traces that can be detected. This paper proposes a real time streaming threat detection system based on machine learning algorithms. The system architecture combines the(More)
— This paper presents a case study on distributed controller design for spatially-invariant and linear parameter-varying (LPV) models. To apply recently proposed state-space-based synthesis conditions, the experimentally identified input/output models are realized in terms of multidimensional state space representations, both for spatially-invariant and LPV(More)
  • Antonio Gonzalez, Pastana Lobato, Ulisses Da, Rocha Figueiredo, Otto Carlos, M B Duarte
  • 2013
—Security is a challenge in future networks. Future Internet proposals rely on virtualization to provide multiple types of networks sharing the same physical infrastructure. This proposal takes advantage of the programmability offered by Software Defined Networks (SDN) to provide an architecture for an Intrusion Prevention System. We developed and tested a(More)
  • Ulisses Da, Rocha Figueiredo, Antonio Gonzalez, Pastana Lobato, Otto Carlos, M B Duarte
  • 2013
—The network virtualization technique is essential to create environments for experimentation of Future Internet proposals. The pluralist architecture for the Future Internet relies on virtualization, in which several different networks run on the same physical substrate. In this paper we analyze network virtualization architectures based on personal(More)
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