Smart mobility is an emerging concept characterized by the use of disruptive technologies, such as cloud computing, Big Data and artificial intelligence. In this paper we propose a FIWARE-based component focus on impr...
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Considering video transmission over an ATM network for a video on demand system, we propose a server of quality (SoQ) that has the main function of fitting the video transmission rate to the available network bandwidt...
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ISBN:
(纸本)0780370937
Considering video transmission over an ATM network for a video on demand system, we propose a server of quality (SoQ) that has the main function of fitting the video transmission rate to the available network bandwidth. The SoQ uses a "backpropagation" neural network to fit the MPEG quantization coefficients in a nonlinear way. Here are shown the SoQ specification and the results obtained from its main module implementation.
Smart mobility is an emerging concept characterized by the use of disruptive technologies, such as cloud computing, Big Data and artificial intelligence. In this paper we propose a FIWARE-based component focus on impr...
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Smart mobility is an emerging concept characterized by the use of disruptive technologies, such as cloud computing, Big Data and artificial intelligence. In this paper we propose a FIWARE-based component focus on improving the data analysis process, from data generated in services and applications existing in the smart mobility context. Our proposal aims to provide features that allows the development of solutions from the industry 4.0 concept and smart cities. Firstly, we briefly contextualize these terms, then we describe the characteristics and architectural design of our FIWARE component, highlighting how it can improve the support to smart services and applications. We also present real application scenarios where this component can be applied, specially considering the Brazilian cities.
This work presents KUCAS (Known User Continuous Authentication System), a work-in-progress security system, that has a continuous authentication mechanism of users in software application. The KUCAS system makes use o...
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This work presents KUCAS (Known User Continuous Authentication System), a work-in-progress security system, that has a continuous authentication mechanism of users in software application. The KUCAS system makes use of environmental context information, users behavior analysis, the behavior theories of Skinner and the Mathematical Confidence of Dempster-Shafer Evidences Theory, that establishes trust levels to authenticate the user by his behavior analysis, during an application software, in a specific domain of the computernetworks, in a period of time. The dynamics of enclosed management in this system compares the current behavior with the user's previous behaviors description and with the trust restrictions. In case of indications of changes in the user's behavior, the system provides the behavior analysis of the user using database restrictions information. If there are uncertainties and divergences, mechanisms of security and alert signals are triggered.
This paper presents a continuous authentication system based on user behavior analysis that makes use of environmental context information, users' behavior analysis and Neuro-Fuzzy Logic. This system must be able ...
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ISBN:
(纸本)9781424458790
This paper presents a continuous authentication system based on user behavior analysis that makes use of environmental context information, users' behavior analysis and Neuro-Fuzzy Logic. This system must be able to acquire information in context, making them into a computational environment. This information is the basis of user behavior. The System, based on the evidences of the behavior, establishes if it can trust the user or not. According to the user behavior, levels of trust are released, to access the application software. Weights are attributed in the fuzzyfication process, according to the rules that were previously established for the parameters which help to establish the evidences of behavioral trust, in its different degrees. The neuro-fuzzy logic allows that the user behavioral database be continuously updated, interacting with the fuzzyfication mechanism, so as to keep trust levels updated according to the user behavior, in a more accurate and faithful way.
To provide different services to smart cities, many new approaches were used, including the strategic approach and the techno-human-centric approach. When it combines both the human aspect through its sensitivities an...
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