1,720,954 research outputs found
Tasks for information security risks management in making-decision process
The author has submitted and tried to perform the number of tasks helping in modeling multi-factors information security risk management system. The author has prioritized financing different vulnerabilities by combining two approaches: processing approach in building events tree and mathematical formalizing the connections and affections levels of different events (vulnerabilities and threats) on information resource.Problems in programming 2017; 4: 089-09
Method of information and analytical support for information security risk management of information systems
It has been tried to combine expert and statistics methods in analyzing information security risk. Author has brought general statements of information security risk management based on international and internal practices as well as proposed own risk analyzing process. The proposed method includes topologies of information resources, vulnarabilities, threats, impact, bulding events’ tree. It has been proposed to build agrigated risk over the certain information resource. Author has tried to convert experts’ metrixes into fuzzy mathematical model. Conclusion of the experiments is that self-learning model gives better results but in the environment of uncertaince, both experts’ and statistics data can be used.Problems in programming 2018; 4: 82-9
Задачі з керування ризиками інформаційної безпеки апарата прийняття рішень
The author has submitted and tried to perform the number of tasks helping in modeling multi-factors information security risk management system. The author has prioritized financing different vulnerabilities by combining two approaches: processing approach in building events tree and mathematical formalizing the connections and affections levels of different events (vulnerabilities and threats) on information resource.Problems in programming 2017; 4: 089-097Предложен перечень задач, решение которых позволяет создать модель зависимости уровня риска информационной безопасности от наличия связей, степени влияния и последствий реализации уязвимостей и угроз на отдельный информационный ресурс и организацию в целом. Приведены примеры построения для отдельного информационного ресурса деревьев связи между уязвимостями, угрозами и последствиями событий информационной безопасности, а также примеры математической формализации зависимости уровня риска реализации отдельной угрозы повреждения или потери информационного ресурса от состояния уязвимостей и их последовательного влияния на данный ресурс.Problems in programming 2017; 4: 089-097Запропоновано перелік завдань, вирішення яких веде до побудови моделі залежності рівня ризику інформаційної безпеки ресурсу від наявності зв'язків та ступеню впливу вразливостей, загроз і наслідків на даний інформаційний ресурс та організацію в цілому. Наведено приклади побудови для окремого інформаційного ресурсу дерев зв’язків між вразливостями, загрозами, наслідками подій інформаційної безпеки, а також приклади математичної формалізації залежності рівня ризику реалізації певної загрози пошкодження або втрати інформаційного ресурсу від стану вразливостей та їх послідовного впливу на даний ресурс.Problems in programming 2017; 4: 089-09
Метод інформаційно-аналітичної підтримки управління ризиками безпеки ресурсів відомчих інформаційних систем
It has been tried to combine expert and statistics methods in analyzing information security risk. Author has brought general statements of information security risk management based on international and internal practices as well as proposed own risk analyzing process. The proposed method includes topologies of information resources, vulnarabilities, threats, impact, bulding events’ tree. It has been proposed to build agrigated risk over the certain information resource. Author has tried to convert experts’ metrixes into fuzzy mathematical model. Conclusion of the experiments is that self-learning model gives better results but in the environment of uncertaince, both experts’ and statistics data can be used.Problems in programming 2018; 4: 82-92Рассматриваются вопросы современного моделирования в области оценки рисков информационной безопасности с точки зрения отдельных информационных ресурсов с присущими им связями уязвимостей, угроз, рисков, последствий. Автор предлагает использовать в модели как статистические данные, так и экспертные оценки, представляя экспертные метрики и связи событий и условий понятиями аппарата нечеткой логики. Сравнивая две модели экспертных оценок и статистических данных, автор приходит к выводу, что обученная статистическая модель более достоверна, однако статистических данных недостаточно в реальных условиях, поэтому необходима комбинация моделей и их постоянное обучение.Problems in programming 2018; 4: 82-92Запропоновано формалізацію вразливостей та загроз за допомогою введення лінгвістичних змінних. Практично використано гібридні моделі та soft computing при побудові залежності рівня ризику виникнення помилок за двома факторами. Запропоновано два варіанти оцінювання впливу вразливостей на рівень ризику результуючого фактора. Запропоновано комбінацію використання статистичних даних та експертних оцінок для аналізу стану інформаційної безпеки організації. Запропоновано визначення сукупного ризику інформаційного ресурсу.Problems in programming 2018; 4: 82-92
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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
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