CV Lattes
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Universidade Estadual Paulista (UNESP). Campus de Bauru. Faculdade de Ciências (FC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
He holds a degree in Systems Analysis from Universidade Sagrado Coração - USC (2000), a master's degree in Computer Science from the Centro Universitário Eurípides de Marília - UNIVEM (2004), a doctorate from the University of São Paulo - USP (2009), a postdoctoral degree in Networks of Computers by the Institute of Computing of the State University of Campinas - UNICAMP and post-doctorate by the Department of Computing of the Universidade Estadual Paulista Júlio de Mesquita Filho - UNESP. Professor of Computer Science and Information Systems courses at Universidade Estadual Paulista Julio de Mesquita Filho (UNESP-Bauru campus). He is an evaluator of undergraduate courses at INEP/MEC. Professor of the Master's and Doctoral Program in Computer Science at UNESP (São José do Rio Preto/Bauru), and has to experience in #8203;#8203;Computer Science, with emphasis on Systems Architecture. Computing and Distributed Systems, working mainly on the following topics: Management in Computer Networks, Computer Security, Anomaly Detection Systems and Signatures in Computer Networks, and Data Flow Analysis in Computer Networks. (Source: Lattes Curriculum)
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The growth in the use of Data Networks, such as the Internet, brought greater complexity to the area of network management. Detecting anomalies in a network, with greater effectiveness and in the shortest possible time, has been the objective of many researchers using Artificial Intelligence. Thus, the research project in question proposes the investigation of intelligent quantum systems …
The Internet, has brought higher complexity to the Network Management area. Detecting anomalies in a network with the highest efficiency and in the shortest possible time has been the goal of many researchers, which have used Artificial Intelligence. This project aims to convert network data into images so that Convolutional Neural Networks can be used to detect deviations in network beha…
Seam carving and Watermarks are specific techniques for use in the area of image processing, where they have as characteristics the achievement of information security, concealment of information within images, as well as the reduction of their size, preserving your characteristics. Nowadays, such techniques are characterized as one of the main problems in the area of image security, and …
(Only some records are available in English at this moment)
Cybersecurity is a growing concern, with privacy and protection against attacks being important contention points between organizations and customers. The application of modern technologies, such as machine learning models for anomaly detection, can be effective for privacy and security, and there is an urgency to understand how the application of modern technologies, like quantum compute…
Since its inception, the use of the internet has not stopped growing. According to data from the International Telecommunication Union, it is estimated that in 2019 around 51% of the world's population had access to the internet, reaching 93% of the people in certain countries, according to data from the same source. With the COVID-19 pandemic, there was a drastic change, with almost all …
Many organizations experience attacks that compromise the security of their information, which happens through vulnerabilities in systems. As a result, there has been an expansion in the network security market, companies responsible for testing and analyzing systems to detect vulnerabilities and inhibit them against possible attacks. There are several programs that take advantage of the …
(Only some records are available in English at this moment)
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