In der vorliegenden Studie soll die Veränderung emotionaler Verarbeitung depressiver Patienten im Vergleich zu einer gesunden Kontrollgruppe untersucht werden. Als Messinstrument dient uns das EEG, welches als eine nicht invasive, sensitive Methode, die Veränderung der emotionalen Reaktion mittels EKPs darstellbar macht. So soll in dieser Studie ein Paradigma entwickelt werden, welches die Veränderung der emotionalen Verarbeitung von depressiven Patienten erfassen kann, um zukünftig die Effektivität von Psychotherapie anhand objektivierbarer Maße zu evaluieren. / The aim of this study is to examine the alterations in emotion processing of depressive patients compared to a healthy control group. The EEG serves as gauge as it is a non-invasive, sensitive method representing changes in emotional reactions via ERPs. In order to evaluate effectivity of psychotherapy with objective factors we want to develope a paradigm which can determine emotion processing of depressive patients. In the EEG we consider N170, a ERP which highly specific for eyes and further also for facial expression. EPN as one of the earliest reactions to emotional stimuli deflects to higher extend to those emotional stimuli than to neutral ones. Our third element is P300 which is also sensitive for emotional mien.

京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第22318号 / 医博第4559号 / 新制||医||1041(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 渡邉 大, 教授 林 康紀, 教授 伊佐 正 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

The design and operation of a two-sided platform require a variety of decisions to facilitate a match between sellers (capacity) and buyers (demand). Many platforms deploy analytic capabilities to leverage rich information, on both demand and capacity, that is available in real-time. This dissertation research explores design decisions, such as price structure and quality controls, and allied analytic capabilities in order to document their impact on platform governance. These decisions are tested in the context of ride-sharing platform by positing three fundamental challenges that must be accounted for effective design: (1) spatial distribution of capacity and demand that allows for capacity spillovers, (2) buyer’s sentiment biases, and (3) seller’s relocation biases. These challenges are assessed in three separate but related essays. The first essay investigates how the policies for setting surge prices should be designed under capacity spillovers. Using a data set from Uber’s operations, we estimate a spatial panel model to reveal its surge pricing structure that accounts for spatial dependency. Allied counterfactual analysis illustrates the limitations of a spot pricing policy (i.e., a policy that does not account for spillovers). The second essay assesses the impact of buyer’s sentiment bias, ranging from optimism to pessimism, on the platform’s decision to control seller quality. Platforms face a trade-off between ensuring high-quality sellers and guaranteeing enough sellers such that wait-time is lowered. We formally characterize an optimal exclusion threshold on seller quality in the presence of sentiment bias. We also examine strategies that a platform can access to benefit from buyer’s behavioral biases. Results document the impact of seller quality on a platform’s profitability and social welfare. In the last essay, we focus on the seller’s relocation behavior. There is a debate in the literature on whether sellers’ willingness to relocate across demand zones in order to chase surging prices is rewarded in a ride-sharing platform setting. Using multiple machine learning algorithms, we classify rewarding behaviors with different pricing structures under a variety of circumstances. Results provide guidance on how to provide incentives while managing the dynamics of spatially distributed capacity.

My diploma thesis deals with the behavioural analysis and perpetrators of serial, mass and sexually motivated murders issue. The behavioural analysis is built upon bases of different methods of criminal profiles formation - psychological profiling. Following the historical outset of the criminal profile, the method of the behavioural analysis and its particular components are introduced and discussed. The components are described through optic of the most commonly used typologies, e.g. perpetrators typologies, scenes of delict, victims and murders. Hereafter I pursue issue of criminal profiling utilization in practise, particularly perpetrator profile creation, crime linking and threat assessment. The last part dedicated to the behavioural analysis consists of behavioural analysis historical development in the Czech Republic and reflection of potential future development of this issue. The second part of my diploma thesis is focused on serial murder and serial perpetrator. The definition of multiple murder and differentiation from its individual types is given. The following part comprises of introduction of the most common myths and stereotypes ingrained in the society and through statistics their creation and falseness is explained. The phenomenon of the hypothetical murderer is reached through...

Orientador: Sandra Leal Calais / Banca: Denis Roberto Zamignani / Banca: Kester Carrara / Resumo: O Acompanhamento Terapêutico (AT) é tema recente nas discussões da Psicologia. É um tipo de atuação clínica que nasceu dos movimentos político-ideológicos da antipsiquiatria, os quais ocorreram na década de 50 na Europa e EUA e em 1960 na América Latina. Boa parte da literatura tenta construir um perfil para o acompanhamente terapêuticom a partir do seu surgimento e contexto histórico, entretanto o conceito ainda não chegou a um consenso científico e apesar de existirem alguns fatores característicos para a conceituação do AT, sua prática diversificada dificulta a identificação das variáveis e consequentemente da construção de um conceito definitivo. A controvérsia se mantém e sua caracterização tem sido baseada em aspectos como a formação profissional, função na equipe, referencial teórico adotado e o trabalho desempenhado. Este trabalho teve como objetivo principal a caracterização de acompanhantes terapêuticos sob a perspectiva da Análise do Comportamento. Para tanto, se fez uso de descrições do trabalho deste profissional considerando tempo de atuação, inserção na área, formação básica e específica, tipos de casos atendidos e locais da atuação, além de expor as desvantagens e vantagens relatadas na prática clínica. Foram participantes desta pesquisa treze Acompanhantes Terapêuticos atuantes na cidade de São Paulo, os quais foram submetidos a uma entrevista semi-estruturada. Os resultados foram analisadas em quatro dimensões de análise e estas desmembradas em categorias e itens. Pode-se observar diante dos dados das entrevistas que o perfil do at está em constante mudança e que caracterizá-los implica observação de muitas variáveis. De acordo com a literatura, as condições fundamentais para a realização desse trabalho são o conhecimento teórico sólido, as habilidades pessoais de traquejo social e a disponibilidade de tempo... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Therapeutic Accompaniment (TA) is a recent theme in discussions of psychology. It is a kind of clinical practice that was born in a political-ideological movement of antipsychiatry, which occurred in the 50 at Europe and USA and 1960 at Latin America. Most of researches tries to built a profile for TA from the beginning of this historical context but the concept has not yet reached a scientific consensus. Although there are some characteristics for the concept of TA, the TA's diverse practice makes difficult to identify these variables and consequently the construction of a concept ended. The controversy remains and its characterization has been based on aspects such as vocational training, role in the team, adopted theoretical reference and the work performed. The main purpose of this study was to characterize therapeutic companions (tc) under the perspective of behavior analysis. For this was used this professional job descriptions, considering given time for practical, the insertion in the area, basic and specific training, types of case seen and places for the practice, beyond the expose of difficulties and benefits reported in clinical practice. Thriteen Therapeutic Comapanions participated of this research. They were from the city of São Paulo and submitted to a semi-structured interview. The results were analyzed in four dimensions of analysis and unfolded in categories. With the interview data it's possible to observe that the TA's profile is constantly changing and that characterizing them implies the observation of many variables. Corroborating the literature, the basic conditions to do this work are the solid theoretical knowledge, personal social skills and available time. These aspects were repeatedly said by participants and analyzed in this study. Although there are many similarities with the traditional therapeutists, the tc has its peculiarities, especially the setting... (Complete abstract click electronic access below) / Mestre

Made available in DSpace on 2014-06-11T19:28:59Z (GMT). No. of bitstreams: 0 Previous issue date: 2011-02-08Bitstream added on 2014-06-13T19:58:27Z : No. of bitstreams: 1 marco_mnc_me_bauru.pdf: 668887 bytes, checksum: 4bb4a60fcc54319fa36fd7c1659e98df (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / O Acompanhamento Terapêutico (AT) é tema recente nas discussões da Psicologia. É um tipo de atuação clínica que nasceu dos movimentos político-ideológicos da antipsiquiatria, os quais ocorreram na década de 50 na Europa e EUA e em 1960 na América Latina. Boa parte da literatura tenta construir um perfil para o acompanhamente terapêuticom a partir do seu surgimento e contexto histórico, entretanto o conceito ainda não chegou a um consenso científico e apesar de existirem alguns fatores característicos para a conceituação do AT, sua prática diversificada dificulta a identificação das variáveis e consequentemente da construção de um conceito definitivo. A controvérsia se mantém e sua caracterização tem sido baseada em aspectos como a formação profissional, função na equipe, referencial teórico adotado e o trabalho desempenhado. Este trabalho teve como objetivo principal a caracterização de acompanhantes terapêuticos sob a perspectiva da Análise do Comportamento. Para tanto, se fez uso de descrições do trabalho deste profissional considerando tempo de atuação, inserção na área, formação básica e específica, tipos de casos atendidos e locais da atuação, além de expor as desvantagens e vantagens relatadas na prática clínica. Foram participantes desta pesquisa treze Acompanhantes Terapêuticos atuantes na cidade de São Paulo, os quais foram submetidos a uma entrevista semi-estruturada. Os resultados foram analisadas em quatro dimensões de análise e estas desmembradas em categorias e itens. Pode-se observar diante dos dados das entrevistas que o perfil do at está em constante mudança e que caracterizá-los implica observação de muitas variáveis. De acordo com a literatura, as condições fundamentais para a realização desse trabalho são o conhecimento teórico sólido, as habilidades pessoais de traquejo social e a disponibilidade de tempo... / Therapeutic Accompaniment (TA) is a recent theme in discussions of psychology. It is a kind of clinical practice that was born in a political-ideological movement of antipsychiatry, which occurred in the 50 at Europe and USA and 1960 at Latin America. Most of researches tries to built a profile for TA from the beginning of this historical context but the concept has not yet reached a scientific consensus. Although there are some characteristics for the concept of TA, the TA's diverse practice makes difficult to identify these variables and consequently the construction of a concept ended. The controversy remains and its characterization has been based on aspects such as vocational training, role in the team, adopted theoretical reference and the work performed. The main purpose of this study was to characterize therapeutic companions (tc) under the perspective of behavior analysis. For this was used this professional job descriptions, considering given time for practical, the insertion in the area, basic and specific training, types of case seen and places for the practice, beyond the expose of difficulties and benefits reported in clinical practice. Thriteen Therapeutic Comapanions participated of this research. They were from the city of São Paulo and submitted to a semi-structured interview. The results were analyzed in four dimensions of analysis and unfolded in categories. With the interview data it's possible to observe that the TA's profile is constantly changing and that characterizing them implies the observation of many variables. Corroborating the literature, the basic conditions to do this work are the solid theoretical knowledge, personal social skills and available time. These aspects were repeatedly said by participants and analyzed in this study. Although there are many similarities with the traditional therapeutists, the tc has its peculiarities, especially the setting... (Complete abstract click electronic access below)

Les malwares, autrement dit programmes malicieux ont grandement évolué ces derniers temps et sont devenus une menace majeure pour les utilisateurs grand public, les entreprises et même le gouvernement. Malgré la présence et l'utilisation intensive de divers outils anti-malwares comme les anti-virus, systèmes de détection d'intrusions, pare-feux etc ; les concepteurs de malwares peuvent significativement contourner ses protections en utilisant les techniques d'offuscation. Afin de limiter ces problèmes, les chercheurs spécialisés dans les malwares ont proposé différentes approches comme l'exploration des données (data mining) ou bien l'apprentissage automatique (machine learning) pour détecter et classifier les échantillons de malwares en fonction de leur propriétés statiques et dynamiques. De plus les méthodes proposées sont efficaces sur un petit ensemble de malwares, le passage à l'échelle de ses méthodes pour des grands ensembles est toujours en recherche et n'a pas été encore résolu.Il est évident aussi que la majorité des malwares sont une variante des précédentes versions. Par conséquent, le volume des nouvelles variantes créées dépasse grandement la capacité d'analyse actuelle. C'est pourquoi développer la classification des malwares est essentiel pour lutter contre cette augmentation pour la communauté informatique spécialisée en sécurité. Le challenge principal dans l'identification des familles de malware est de réussir à trouver un équilibre entre le nombre d'échantillons augmentant et la précision de la classification. Pour surmonter cette limitation, contrairement aux systèmes de classification existants qui appliquent des algorithmes d'apprentissage automatique pour sauvegarder les données ; ce sont des algorithmes hors-lignes ; nous proposons une nouvelle classification de malwares en ligne utilisant des algorithmes d'apprentissage automatique qui peuvent fournir une mise à jour instantanée d'un nouvel échantillon de malwares en suivant son introduction dans le système de classification.Pour atteindre notre objectif, premièrement nous avons développé une version portable, évolutive et transparente d'analyse de malware appelée VirMon pour analyse dynamique de malware visant les OS windows. VirMon collecte le comportement des échantillons analysés au niveau bas du noyau à travers son pilote mini-filtre développé spécifiquement. Deuxièmement, nous avons mis en place un cluster de 5 machines pour notre module d'apprentissage en ligne ( Jubatus);qui permet de traiter une quantité importante de données. Cette configuration permet à chaque machine d'exécuter ses tâches et de délivrer les résultats obtenus au gestionnaire du cluster.Notre outil proposé consiste essentiellement en trois niveaux majeures. Le premier niveau permet l'extraction des comportements des échantillons surveillés et observe leurs interactions avec les ressources de l'OS. Durant cette étape, le fichier exemple est exécuté dans un environnement « sandbox ». Notre outil supporte deux « sandbox »:VirMon et Cuckoo. Durant le second niveau, nous appliquons des fonctionnalités d'extraction aux rapports d'analyses. Le label de chaque échantillon est déterminé Virustotal, un outil regroupant plusieurs anti-virus permettant de scanner en ligne constitués de 46 moteurs de recherches. Enfin au troisième niveau, la base de données de malware est partitionnée en ensemble de test et d'apprentissage. L'ensemble d'apprentissage est utilisé pour obtenir un modèle de classification et l'ensemble de test est utilisé pour l'évaluation.Afin de valider l'efficacité et l'évolutivité de notre méthode, nous l'avons évalué en se basant sur une base de 18 000 fichiers malicieux récents incluant des virus, trojans, backdoors, vers etc, obtenue depuis VirusShare. Nos résultats expérimentaux montrent que permet la classification de malware avec une précision de 92 %. / Recently, malware, short for malicious software has greatly evolved and became a major threat to the home users, enterprises, and even to the governments. Despite the extensive use and availability of various anti-malware tools such as anti-viruses, intrusion detection systems, firewalls etc., malware authors can readily evade these precautions by using obfuscation techniques. To mitigate this problem, malware researchers have proposed various data mining and machine learning approaches for detecting and classifying malware samples according to the their static or dynamic feature set. Although the proposed methods are effective over small sample set, the scalability of these methods for large data-set are in question.Moreover, it is well-known fact that the majority of the malware is the variant of the previously known samples. Consequently, the volume of new variant created far outpaces the current capacity of malware analysis. Thus developing malware classification to cope with increasing number of malware is essential for security community. The key challenge in identifying the family of malware is to achieve a balance between increasing number of samples and classification accuracy. To overcome this limitation, unlike existing classification schemes which apply machine learning algorithm to stored data, i.e., they are off-line, we proposed a new malware classification system employing online machine learning algorithms that can provide instantaneous update about the new malware sample by following its introduction to the classification scheme.To achieve our goal, firstly we developed a portable, scalable and transparent malware analysis system called VirMon for dynamic analysis of malware targeting Windows OS. VirMon collects the behavioral activities of analyzed samples in low kernel level through its developed mini-filter driver. Secondly we set up a cluster of five machines for our online learning framework module (i.e. Jubatus), which allows to handle large scale of data. This configuration allows each analysis machine to perform its tasks and delivers the obtained results to the cluster manager.Essentially, the proposed framework consists of three major stages. The first stage consists in extracting the behavior of the sample file under scrutiny and observing its interactions with the OS resources. At this stage, the sample file is run in a sandboxed environment. Our framework supports two sandbox environments: VirMon and Cuckoo. During the second stage, we apply feature extraction to the analysis report. The label of each sample is determined by using Virustotal, an online multiple anti-virus scanner framework consisting of 46 engines. Then at the final stage, the malware dataset is partitioned into training and testing sets. The training set is used to obtain a classification model and the testing set is used for evaluation purposes .To validate the effectiveness and scalability of our method, we have evaluated our method on 18,000 recent malicious files including viruses, trojans, backdoors, worms, etc., obtained from VirusShare, and our experimental results show that our method performs malware classification with 92% of accuracy.

Submitted by LAURA MOREIRA BORELLI null (lauraborelli1@gmail.com) on 2016-10-22T13:26:20Z No. of bitstreams: 1 DISSERTAÇÃO - LAURA BORELLI 2016.pdf: 1951164 bytes, checksum: 25f5f5e2e5e6cd7ac28dc2562ca3b20b (MD5) / Approved for entry into archive by Juliano Benedito Ferreira (julianoferreira@reitoria.unesp.br) on 2016-10-31T16:21:24Z (GMT) No. of bitstreams: 1 borelli_lm_me_bauru.pdf: 1951164 bytes, checksum: 25f5f5e2e5e6cd7ac28dc2562ca3b20b (MD5) / Made available in DSpace on 2016-10-31T16:21:24Z (GMT). No. of bitstreams: 1 borelli_lm_me_bauru.pdf: 1951164 bytes, checksum: 25f5f5e2e5e6cd7ac28dc2562ca3b20b (MD5) Previous issue date: 2016-08-05 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / São frequentes as iniciativas para melhoria da educação em um cenário atual que urge por mudanças, quando é examinado a partir de dados que apontam deficiências em vários aspectos, dentre eles o próprio processo de ensino-aprendizagem. A crise na educação se estende a uma crise de valores diante da qual permanece necessária a participação, na busca de soluções, dos diversos grupos e instituições sociais, dentre eles a escola, considerada responsável, ao lado da família, pela formação de crianças e jovens em relação a valores éticos imprescindíveis para o exercício da cidadania. Nesse contexto, os objetivos deste estudo foram: 1) identificar, descrever e analisar as definições de ética e de comportamentos pró-éticos utilizadas por docentes no contexto escolar e as propostas de ensino destes comportamentos na escola; 2) identificar o papel do professor no processo de ensino e aprendizagem de comportamentos pró-éticos; 3) levantar necessidades e apontar alternativas de delineamentos para fortalecimento e consolidação do ensino de comportamentos pró-éticos relevantes para as pessoas das escolas participantes. Participaram 75 professores e 10 gestores de seis escolas públicas de uma cidade do interior de São Paulo. Os professores responderam a um questionário e os gestores a uma entrevista, com o objetivo de identificar as características do contexto escolar importantes para um planejamento cultural. Os resultados demonstram que os professores procuram ensinar comportamentos pró-éticos com frequência diante de situações de problemas de comportamentos e ofensas, visando a mudança de comportamento do aluno. Há pouca clareza sobre o que se espera do aluno nesta perspectiva, e o ensino acontece informalmente, sem orientações sistematizadas. As principais demandas para intervenção se referem aos problemas de comportamento dos alunos e à ausência da família na escola, e neste sentido, podem ser realizadas intervenções para fortalecer as práticas culturais relativas ao ensino de comportamentos pró-éticos aos alunos, com base em estratégias analítico-comportamentais, como por exemplo em formato de formação continuada aos professores. / Efforts to improve brazilian education are common in the current context that urges for changes when it is examined from data indicating deficiencies in various aspects, including the own teaching-learning process. The crisis in education extends to a crisis of values on which remains necessary to participate in the search for solutions, the various social groups and institutions, including the school, held responsible, next to the family, the education of children and youth in relation to ethical values indispensable for the exercise of citizenship. In this context, the objectives of this study were: 1) to identify, describe and analyze the definitions of ethics and pro-ethical behavior used by teachers in the school context and educational proposals of these behaviors at school; 2) identify the teacher's role in teaching-learning process of pro-ethical behavior; 3) raising needs and alternative solutions to designs for strengthening and consolidating the teaching of relevant pro-ethical behavior for people from participating schools. Participated 75 teachers and 10 managers from six public schools in a city in the interior of São Paulo. Teachers answered a questionnaire and managers to interview, in order to identify the important school context characteristics for cultural planning. The results show that teachers seek to teach pro-ethical behaviors often in situations of behavior and abuse problems, aiming to change student behavior. There is little clarity about what is expected of students in this perspective, and teaching happens informally, without systematic guidelines. The main demands identified for intervention refer to students' behavior problems and the absence of the family in school, and in this sense, interventions can be made to strengthen the cultural practices related to the teaching pro-ethical behavior students, based on behavioral analytical strategies, such as format of continuing education for teachers.

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No. of bitstreams: 1 miranda_hm_me_bauru.pdf: 4254846 bytes, checksum: 7b79a08f75f7b7108dabff833d897fda (MD5) Previous issue date: 2017-09-28 / Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) / A relação entre a Análise do Comportamento (AC) e a tecnologia não é uma novidade. Skinner desde o início se aproveitou dessa relação para desenvolver soluções criativas, que moldaram os rumos da ciência por ele estudada. Skinner também sempre evidenciou a necessidade de que os analistas do comportamento se engajem em questões sociais e culturais, porém, até recentemente, esse foi um campo relativamente negligenciado pela maioria dos pesquisadores da área. Aos que assumem tal desafio, se apresentam discussões no sentido de apontar a necessidade de soluções para os problemas sociais que envolvam tendências tecnológicas e que não se limitem tanto por questões espaciais e temporais. Nesse sentido se inserem as redes sociais. O número de usuários dessas redes é cada vez maior, assim como o tempo que eles passam conectados. O presente estudo busca apresentar o Facebook como uma ferramenta útil para o planejamento cultural, a partir de 1) análises quantitativas do número de curtidas, comentários e compartilhamentos, bem como da forma de apresentação do conteúdo das publicações e 2) análises qualitativas de publicações e comentários observados na página da Prefeitura de Curitiba, pautadas no conceito de contingência de três termos. Através das análises foi possível apontar o uso da rede social como ferramenta que pode colocar os cidadãos em contato com os efeitos coletivos e de longo prazo de seus comportamentos, estabelecer regras e especificar contingências, e possibilitar que os cidadãos participem do debate sobre políticas públicas. Por fim, são apontadas algumas estratégias observadas na página da prefeitura e na literatura que podem ampliar o alcance do planejamento cultural. / The relationship between Behavior Analysis (BA) and technology is not new. From the beginning Skinner took advantage of such relationship to develop creative solutions that shaped the directions of the science he studied. Skinner has also always pointed the need for behavioral analysts to engage in social and cultural issues, but until recently this was a relatively neglected field by most researchers in the area. Those who take on such a challenge are faced with discussions indicating the need for solutions to social problems involving technological trends and that are not so limited by constraints of space and time. In this sense, social networks are introduced. The number of these networks‟ users is increasing, along with time they spend connected. This study seeks to present Facebook as a useful tool for cultural planning, based on 1) quantitative analysis of the number of likes, comments and shares, as well as the form the content was presented in the publications and 2) qualitative analysis of publications and comments observed on Curitiba‟s City hall Facebook page, based on the concept of three-term contingency. Through analysis it was possible to point out the use of the social network as a tool that can put citizens in contact with the collective and long-term effects of their behavior, establish rules and specify contingencies, and enable citizens to participate in the public policies debate. Finally, we point out some strategies observed on the city hall‟s page and in literature that can extend the reach of cultural design. / FAPESP: 2015/12096-8

Orientador: Paulo Lício de Geus / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação / Made available in DSpace on 2018-08-19T09:53:52Z (GMT). No. of bitstreams: 1 FernandesFilho_DarioSimoes_M.pdf: 1173947 bytes, checksum: 5ea6ffc7c1319403f1247259b7f910a5 (MD5) Previous issue date: 2011 / Resumo: O aumento no número de operações financeiras ocorrendo na Internet impulsionou o crescimento nos ataques a usuários conectados. Estes ataques normalmente são feitos com o uso de malware, software que realiza ações maliciosas na máquina do usuário, tais como interceptação de dados sensíveis, por exemplo, senhas e números de cartões de crédito. A fim de minimizar o comprometimento por malware, são utilizados mecanismos antivírus, software usados para encontrar e remover malware. Tal detecção normalmente é feita através de assinaturas - strings que auxiliam na identificação - ou heurísticas. Entretanto, essa abordagem pode ser facilmente subvertida, tornando a identificação dos malware ineficaz. Para evitar este problema, é usado um outro tipo de abordagem de detecção, onde o comportamento do binário no sistema é analisado. O trabalho proposto visa desenvolver um protótipo de um sistema de análise de malware que poderá gerar perfis comportamentais, os quais podem servir de insumo para ferramentas de detecção de malware / Abstract: The rise in the number of financial operations through the internet boosted the increase in the attacks to connected users. These attacks are normally made by malware, software that make malicious actions in the user machine, such as interception of sensitive data, like passwords and card numbers. To minimize the compromise by malware, anti-virus mechanisms are frequently used, software that usually finds and removes malware. Such detection are normally made through signatures - strings that help in the identification - or heuristics. However, this approach can be easily subverted, making the identification of malware ineffective. To avoid this problem, it's used another detection approach, where the binary behavior is analyzed. The proposed work aims to develop a prototype of a malware analysis system which may generate behavior profiles, which can serve as an input to malware detection tools / Mestrado / Ciência da Computação / Mestre em Ciência da Computação