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    Detecção de intrusão utilizando redes neurais artificiais no reconhecimento de padrões de ataque

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    The number of cyber attack is growing up more and more, because, the tools of invasion is become more widely e easy to find and the vulnerabilities take a long time to be corrected. For all this, the Intrusion Detection System has become a necessary device in the most of network security system. The main objective is identifying potential violations in security policy. The most Intrusion Detection System are based on rules and need that tha database be update every time that a new attack is discovered. However, this task is not too simple, since the rules are complicated and require deep knowledge of the attack that we wish detect, further than will consume important time of the system administrator, who should make the database update frequently. If the intrusion detection system not be updated, this system become a security flaw, because it will not report a invasion when the network be invaded by a unknown attack. This work has the purpose of show the use of artificial neural network for the problem of detection of those violations and newer attack pattern. For this, was used a Multi_layer Perceptorn (MLP) network whit the intuit of recognize network attack patterns, having whit database the Third International Knowledge Discover and Data Mining Tools Competition. As this database possesss discrete and continuous fields, the normalization of the 41 fields was necessary that composes it to make possible its use in the training of the neural nets. It was opted to the use of 4 neural nets, which had as objective to detect a type of attack, Remote to- Local, User-to - the Root, Probe and Of, beyond recognizing the standards of normal traffic correctly. Excellent results in the use of neural nets in the recognition of standards of attack had been gotten, with high rate of detection of the new attacks and decreases taxes of false positives and false negatives, having a case where 100% of attack detention occur and 100% of detention of normal traffic.O número de ataques cibernéticos vem crescendo cada vez mais, pois as ferramentas de invasão estão cada vez mais fáceis de encontrar e as vulnerabilidades encontradas, demoram a serem corrigidas. Em virtude disso, os sistemas de detecção de intrusão têm-se tornado um componente necessário na maioria dos sistemas de segurança de rede. O principal objetivo é identificar potenciais violações nas políticas de segurança. A maioria dos sistemas de detecção de intrusão é baseada em regras e necessitam que a base de dados seja atualizada a cada vez que um novo ataque é descoberto. Entretanto esta tarefa não é simples, pois as regras são complicadas e necessitam de conhecimento profundo do ataque que se deseja detectar, além de consumir um tempo importante do administrador do sistema que deverá fazer a verificação da base de dados constantemente. Caso o sistema de detecção de intrusão não seja atualizado, este se torna uma brecha no sistema de segurança, pois não irá relatar uma invasão quando a rede for invadida por um ataque desconhecido. Este trabalho tem como propósito apresentar o uso de redes neurais artificiais no problema de detecção de tais violações e em novos padrões de ataque. Para isso foi utilizado uma rede Multi-Layer Perceptron (MLP) com o intuito de reconhecer padrões de ataques de rede, tendo como base de dados o Third International Knowledge Discovery and Data Mining Tools Competition. Como essa base de dados possui campos discretos e contínuos, foi necessária a normalização dos 41 campos que a compõe para viabilizar o seu uso no treinamento das redes neurais. Optou-se pela utilização de 4 redes neurais, as quais tinham como objetivo detectar um tipo de ataque, Remote-to-Local, User-to-Root, Probe e DoS, além de reconhecer corretamente os padrões de tráfego normal. Obtiveram-se ótimos resultados na utilização de redes neurais no reconhecimento de padrões de ataque, com altas taxa de detecção dos novos ataques e baixas taxas de falsos positivos e falsos negativos, tendo um caso onde ocorre 100% de detecção de ataque e 100% de detecção de tráfego normal

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used

    Author Under Sail The Imagination of Jack London, 1893-1902

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    In Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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