815 resultados para Computer crimes


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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciências Políticas e Relações Internacionais

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Based on the report for “Project IV” unit of the PhD programme on Technology Assessment (Doctoral Conference) at Universidade Nova de Lisboa (December 2011). This thesis research has the supervision of António Moniz (FCT-UNL and ITAS-KIT) and Armin Grunwald (Karlsruhe Institute of Technology-ITAS, Germany). Other members of the thesis committee are Mário Forjaz Secca (FCT-UNL) and Femke Nijboer (University of Twente, Netherlands).

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Dissertação para obtenção do Grau de Mestre em Biotecnologia

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No meio jornalístico, a Internet veio estabelecer uma nova plataforma de informação, que atingiu os meios de comunicação e proliferou a forma como o cidadão comum pode obter informação. Através da Internet, podemos exercer o nosso direito de liberdade de expressão e informação (artigo 37.º da Constituição da República Portuguesa) em toda a sua plenitude. No entanto, este advento trouxe com ele novos meios para praticar crimes. A pessoa que escreve, publica ou vê algo através da Internet pode cometer um crime contra a honra, punido pelo Código Penal. Destes crimes fazem parte a difamação, o crime mais importante na Comunicação Social, a injúria ou a calúnia: a Internet é uma ferramenta facilitadora de atentar contra a honra da pessoa humana, um direito inerente à nossa simples existência. Na Internet o crime é muitas vezes motivado pela ideia de que o dispositivo informático permite esconder o autor, o que não acontece nos meios de comunicação dito tradicionais. Não obstante, a Internet é um meio de conservação de identidades muito poderoso. A pegada informática nunca é definitivamente apagada e, ainda que tendo a necessidade de ultrapassar alguns constrangimentos jurídicos, existe sempre a possibilidade de identificar os autores dos crimes. Os crimes praticados no mundo online já são, em Portugal, legislados offline. Esta mesma legislação pode ser aplicada a estes “novos” crimes, não sendo necessário uma regulação urgente para que este tipo de crimes seja punido. O que tem que existir é uma permanente observação, na medida em que os crimes contra a honra praticados online atingem um número inqualificável de pessoas e propagam-se a um ritmo avassalador.

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Following orders, hierarchical obedience and military discipline are essential values for the survival of the armed forces. Without them, it is not possible to conceive the armed forces as an essential pillar of a democratic state of law and a guarantor of national independence. As issuing orders as well as receiving and following them are inextricably linked to military discipline, and as such injunctions entail the workings of a particular obedience regime within the specific kind of organized power framework which is the Armed Forces, only by analysing the importance of such orders within this microcosm – with its strict hierarchical structure – will it be possible to understand which criminal judicial qualification to ascribe to the individual at the rear by reference to the role of the front line individual (i.e. the one who issues an order vs the one who executes it). That is, of course, when we are faced with the practice of unlawful acts, keeping in mind the organizational framework and its influence over the will of the executor. One thing we take as read, if the orders can be described as unlawful, the boundary line of the duty of obedience, which cannot be overstepped, both because of a legal as well as a constitutional imperative, will have been crossed. And the military have sworn an oath of obedience to the fundamental law. The topic of hierarchical obedience cannot be separated from the analysis of current legislation which pertains to the topic within military institutions. With that in mind, it appeared relevant to address the major norms which regulate the matter within the Portuguese military legal system, and, whenever necessary and required by the reality under analysis, to relate that to civilian law or legal doctrine.

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The subject of study of this Thesis aims to highlight and recognize as an object of reflection the undoubted relationship between the Internet and the Justice System, based on the issue of digital evidence. The simultaneously crossing of the juridical-legal implications and the more technical computer issues is the actual trigger for the discussion of the issues established. The Convention on Cybercrime of the Council of Europe of 23rd November 2001 and the Council Framework Decision n.° 2005/222/JHA of 24th February 2005 were avant-garde in terms of the international work about the crimes in the digital environment. In addition they enabled the harmonization of national legislations on the matter and, consequently, a greater flexibility in international judicial cooperation. Portugal, in compliance with these international studies, ratified, implemented and approved Law n. º 109/2009 of 15th September concerning the Cybercrime Act, establishing a more specific investigation and collection of evidence in electronic support when it comes to combating this type of crime, as it reinforced the Substantive Criminal Law and Procedural Nature. Nevertheless, the constant debates about the New Technologies of Information and Communication have not neglected the positive role of these tools for the user. However, they express a particular concern for their counterproductive effects; a special caution prevails on the part of the judge in assessing the digital evidence, especially circumstantial evidence, due to the its fragility. Indisputably, the practice of crimes through the computer universe, given its inexorable technical complexity, entails many difficulties for the forensic investigation, since the proofs hold temporary, changeable, volatile, and dispersed features. In this pillar, after the consummation of iter criminis, the Fundamental Rights of the suspects may be debated in the course of the investigation and the construction of iter probatorium. The intent of this Thesis is to contribute in a reflective way on the issues presented in order to achieve a bigger technical and legal awareness regarding the collection of digital proof, looking for a much lighter approach to its suitability in terms of evidentiary value.

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Following orders, hierarchical obedience and military discipline are essential values for the survival of the armed forces. Without them, it is not possible to conceive the armed forces as an essential pillar of a democratic state of law and a guarantor of national independence. As issuing orders as well as receiving and following them are inextricably linked to military discipline, and as such injunctions entail the workings of a particular obedience regime within the specific kind of organized power framework which is the Armed Forces, only by analysing the importance of such orders within this microcosm – with its strict hierarchical structure – will it be possible to understand which criminal judicial qualification to ascribe to the individual at the rear by reference to the role of the front line individual (i.e. the one who issues an order vs the one who executes it). That is, of course, when we are faced with the practice of unlawful acts, keeping in mind the organizational framework and its influence over the will of the executor. One thing we take as read, if the orders can be described as unlawful, the boundary line of the duty of obedience, which cannot be overstepped, both because of a legal as well as a constitutional imperative, will have been crossed. And the military have sworn an oath of obedience to the fundamental law. The topic of hierarchical obedience cannot be separated from the analysis of current legislation which pertains to the topic within military institutions. With that in mind, it appeared relevant to address the major norms which regulate the matter within the Portuguese military legal system, and, whenever necessary and required by the reality under analysis, to relate that to civilian law or legal doctrine.

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Hand gesture recognition for human computer interaction, being a natural way of human computer interaction, is an area of active research in computer vision and machine learning. This is an area with many different possible applications, giving users a simpler and more natural way to communicate with robots/systems interfaces, without the need for extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them to convey information or for device control. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. In this study we try to identify hand features that, isolated, respond better in various situations in human-computer interaction. The extracted features are used to train a set of classifiers with the help of RapidMiner in order to find the best learner. A dataset with our own gesture vocabulary consisted of 10 gestures, recorded from 20 users was created for later processing. Experimental results show that the radial signature and the centroid distance are the features that when used separately obtain better results, with an accuracy of 91% and 90,1% respectively obtained with a Neural Network classifier. These to methods have also the advantage of being simple in terms of computational complexity, which make them good candidates for real-time hand gesture recognition.

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"Lecture notes in computational vision and biomechanics series, ISSN 2212-9391, vol. 19"

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Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for human-computer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of visionbased interaction systems could be the same for all applications and thus facilitate the implementation. For hand posture recognition, a SVM (Support Vector Machine) model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM (Hidden Markov Model) model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications. To validate the proposed framework two applications were implemented. The first one is a real-time system able to interpret the Portuguese Sign Language. The second one is an online system able to help a robotic soccer game referee judge a game in real time.

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Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for humancomputer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of vision-based interaction systems can be the same for all applications and thus facilitate the implementation. In order to test the proposed solutions, three prototypes were implemented. For hand posture recognition, a SVM model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications.

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Forming suitable learning groups is one of the factors that determine the efficiency of collaborative learning activities. However, only a few studies were carried out to address this problem in the mobile learning environments. In this paper, we propose a new approach for an automatic, customized, and dynamic group formation in Mobile Computer Supported Collaborative Learning (MCSCL) contexts. The proposed solution is based on the combination of three types of grouping criteria: learner’s personal characteristics, learner’s behaviours, and context information. The instructors can freely select the type, the number, and the weight of grouping criteria, together with other settings such as the number, the size, and the type of learning groups (homogeneous or heterogeneous). Apart from a grouping mechanism, the proposed approach represents a flexible tool to control each learner, and to manage the learning processes from the beginning to the end of collaborative learning activities. In order to evaluate the quality of the implemented group formation algorithm, we compare its Average Intra-cluster Distance (AID) with the one of a random group formation method. The results show a higher effectiveness of the proposed algorithm in forming homogenous and heterogeneous groups compared to the random method.