CyberVisual : designing user environments for large scale networks and simulations

• Main Author: Workie, Nahom Hailemariam
• Other Authors: Abel Sanchez.
• Format: Others
• Language: English
• Published: Massachusetts Institute of Technology 2014
• Subjects: Electrical Engineering and Computer Science.
• Online Access: http://hdl.handle.net/1721.1/92091

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.