UMD Theses and Dissertations

Permanent URI for this collectionhttp://hdl.handle.net/1903/3

New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.

More information is available at Theses and Dissertations at University of Maryland Libraries.

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    Real-Time Cybersecurity Situation Awareness Through a User-Centered Network Security Visualization
    (2022) DeValk, Kaitlyn; Elmqvist, Niklas; Computer Science; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    One of the most common problems amongst cybersecurity defenders is lack of network visibility, leading to decreased situation awareness and overlooked indicators of compromise. This presents an opportunity for the use of information visualization in the field of cybersecurity. Prior research has looked at applying visual analytics to computer network defense, which has led to the development of visualizations for a variety of use cases in the security field. However, many of these visualizations do not consider user needs and requirements or require some predetermined user knowledge about the network to create the visuals, leading to low adoption in practice. With this in mind, I took a bottom-up, user-centered approach using interviews to gather user-desired components for the design, development, and evaluation of a network security visualization tool, called Riverside. I designed a visualization that attempts to balance providing a comprehensive view of an environment while supplying details-on-demand. Riverside’s key contribution is a data-driven, dynamic view of a network’s security state over time, meant to supplement an analyst’s real-time situation awareness of their network. Riverside’s system automatically partitions internal from external network components to visualize potential attack vectors across the entire environment. This research supports the need for further incorporation of users into the cybersecurity visualization development lifecycle. I call attention to key requirements for creating effective cybersecurity visualizations and specific use cases where visualizations can be leveraged to augment operational cybersecurity capabilities.