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Abel Sanchez. Workie, Nahom Hailemariam Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2014-12-08T18:48:14Z 2014-12-08T18:48:14Z 2014 2014 http://hdl.handle.net/1721.1/92091 895678031 Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (page 55). The growth of data collection within the technology sector has been increasing at an astounding rate over the last decade. This growth has given rise to techniques and statistical tools for computation that enable us to see trends and answer queries; however, most of this information has been in the form of numbers in a data set resulting from these computations. As this trend towards data collection and analysis continues, it becomes increasingly important to show and present this information to users and non-data scientists with quantifiable and concise methods. With respect to large data in the field of networks and cyber security, though the tools for calculating and simulating threats are available, there are currently very few options for showing the results. Here we demonstrate CyberVisual, a possible visualization tool for displaying and simulating calculations on client-side applications. CyberVisual is a two-part attempt at changing how this information is presented in the form of visual encoding. The tool is a client-side application that would enable a user to make better sense of information using various visualization techniques to emphasize different modes of summarization and interaction with a given dataset. Through this we aim to improve the future of visualization by enabling users different and more interactive approaches for showing massive data sets Keywords: Human-Computer Interaction, Visualization Analytics, Computer Systems, Big Data by Nahom Hailemariam Workie. M.Eng. 55 pages eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Electrical Engineering and Computer Science. CyberVisual : designing user environments for large scale networks and simulations Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="4046bbf9-07fa-445b-849f-703e2a273e4c"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>CyberVisual : designing user environments for large scale networks and simulations</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2014</PublicationDate> <Authors> <Author> <DisplayName>Workie, Nahom Hailemariam</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Abstract>The growth of data collection within the technology sector has been increasing at an astounding rate over the last decade. This growth has given rise to techniques and statistical tools for computation that enable us to see trends and answer queries; however, most of this information has been in the form of numbers in a data set resulting from these computations. As this trend towards data collection and analysis continues, it becomes increasingly important to show and present this information to users and non-data scientists with quantifiable and concise methods. With respect to large data in the field of networks and cyber security, though the tools for calculating and simulating threats are available, there are currently very few options for showing the results. Here we demonstrate CyberVisual, a possible visualization tool for displaying and simulating calculations on client-side applications. CyberVisual is a two-part attempt at changing how this information is presented in the form of visual encoding. The tool is a client-side application that would enable a user to make better sense of information using various visualization techniques to emphasize different modes of summarization and interaction with a given dataset. Through this we aim to improve the future of visualization by enabling users different and more interactive approaches for showing massive data sets Keywords: Human-Computer Interaction, Visualization Analytics, Computer Systems, Big Data</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>