DISSERTAÇÃO DE MESTRADO - PROGRAMA DE PÓS GRADUAÇÃO EM ENGENHARIA DE ELETRICIDADE

URI Permanente para esta coleçãohttps://tedebc-teste.ufma.br/handle/tede/280

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ABIDS-WSN: UM FRAMEWORK DE DETECÇÃO DE INTRUSÃO EM REDES DE SENSORES SEM FIO ORIENTADO POR AGENTES INTELIGENTES.
(Universidade Federal do Maranhão, 2017-01-26) PIRES, Higo Fellipe Silva; LOPES, Denivaldo Cícero Pavão; 613643713-91; http://lattes.cnpq.br/7611180871627212
Lately, there has been a significant advance in several technologies directly or indirectly related to Ubiquitous Computing. Among them, the technology of Wireless Sensor Networks (WSNs) can be mentioned. Having its space in the current scenario, the use of wireless sensors extends into various branches of human activity: industrial monitoring, smart houses, medical and military applications. However, several shortcomings and limitations in wireless sensors can be noted: limited hardware, energy and computational capacity are points that are always treated by those who work with such devices. As for these devices, there is, besides the factors already mentioned, an important concern regarding their safety. As with other devices, for these threats to be at least mitigated, it is necessary to create layers of security. One of these layers may be formed by Intrusion Detection Systems (IDS). However, due to the aforementioned hardware restriction of the sensors, the development of IDSs - as well as any other application - for such devices should assume such characteristics. As for IDSs, there are some aspects that need to be taken into account, especially flexibility, efficiency and adaptability to new situations. A paradigm that facilitates the implementation of such capabilities is the Intelligent Agents. Therefore, this paper describes the proposition of a framework for intrusion detection in WSNs based on intelligent agents.
UM FRAMEWORK BASEADO EM MDE E WEAVING PARA SUPORTE AO DESENVOLVIMENTO DE SISTEMAS DE SOFTWARE SENSÍVEIS AO CONTEXTO
(Universidade Federal do Maranhão, 2017-01-25) STEFANELLO, Debóra Rodrigues; LOPES, Denivaldo Cícero Pavão; 613643713-91; http://lattes.cnpq.br/7611180871627212
In recent years, some research has taken into account problems related to the development of software systems, especially those that make use of context, i.e. context-aware systems. In this dissertation the complexity of context-aware system development is discussed. The proposed solution aims to provide support for the context-aware system development through a framework based on MDE and Weaving. On the one hand, MDE allows the use of models to manage complexity in software development, while the weaving technique supports the creation of interrelations between elements of different but complementary models. The weaving technique is used to create a weaving model that establishes interrelationships between the elements of a Platform Independent Model (PIM) and several Platform Description Model (PDMs). An implementation of the proposed framework and an illustrative example help to understand the proposal and its feasibility. A comparison between the proposed solution and the works found in the literature Done, showing the negative and positive points of the proposed solution.
Um framework para suportar de forma semiautomática a atividade de desenvolvimento de software para mapreduce utilizando MDE
(Universidade Federal do Maranhão, 2017-11-22) SOUSA JUNIOR, Osvaldo Silva de; SILVA, Aristófanes Corrêa; 288745363-72; http://lattes.cnpq.br/2446301582459104; LOPES, Denivaldo Cícero Pavão; 61364371391; http://lattes.cnpq.br/7611180871627212; LOPES, Denivaldo Cícero Pavão; 613643713-91; http://lattes.cnpq.br/7611180871627212; SILVA, Aristófanes Corrêa; 288745363-72; http://lattes.cnpq.br/2446301582459104; DEL FABRO, Marcos Didonet; http://lattes.cnpq.br/4720333397291573; SANTOS NETO, Pedro de Alcântara dos; http://lattes.cnpq.br/3452982259415951; GUTIÉRREZ, María del Rosario Girardi; http://lattes.cnpq.br/5317074159250496
The need to analyze a large volume and variety of data to extract information has been increasing investments in Big Data. One example would be investments targeted at software engineering for Big Data platforms. These investments are recent and emerging, so several challenges and opportunities are found in the literature, but few approaches have been proposed to support them. In this work, a framework based on Model-Driven Engineering (MDE) and Weaving is proposed to support the software development activity in a semiautomatic way, using the MapReduce model of the Big Data platform. This framework was called F2BD and uses MDE to assist in controlling the complexity of software development through models; and uses Weaving to unify the view between different models. An activity process is proposed to guide the use of F2BD. In addition, a metamodel based on Action Language for Foundational UML (Alf) and a graphical notation called VisualAlf are proposed to complement UML, aiming to support the description of the actions modeled in the bodies (i.e. body field) of methods of diagram class UML. Metamodels for Platform-Description Model (PDM) based on MapReduce and metamodels for abstract Platform-Specific Model (PSM) based on Spark are provided. Transformation definitions of models written in Atlas Transformation Language (ATL) are proposed. The applicability of F2BD was demonstrated through the construction of a tool (TF2BD) and the feasibility of TF2BD was demonstrated through the construction of two illustrative examples and an experimental evaluation. TF2BD supports the tasks involved in software development activity, providing editors for manual manipulation of models and transformation definitions for automatic generation of PSM as well as full source code. This is possible because TF2BD was built based on the F2BD architecture. Thus, it is concluded that F2BD is feasible and can be used for the construction of other tools.

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