LUCID: A Spectator Targeted Visualization System to Broaden Participation at Cyber Defense Competitions

该项目的目标是通过开发一个可视化和广播系统来激发人们对网络安全竞赛的兴趣，以增强观众的学习和理解。该系统通过以可用和生动的方式呈现与理解游戏的实时细节相关的信息来吸引观众。它通过各种技术的组合来实现这一目标，包括实时网络安全可视化，实时视频和音频监控，动画，计算机图形和评论。因此，该项目提高了观众的教育价值和兴奋度，并扩大了对网络安全领域的兴趣。拟议的工具捕捉所有参赛队的计算机和网络活动，并使用最先进的广播、动画和评论，以用户友好的方式为观众呈现这些活动。虽然可视化已被用于大规模的网络防御竞赛，如中大西洋大学网络防御竞赛，但它仍然只以有限的方式使用。此外，它不以严肃的方式针对观众，很少用于小规模的网络防御比赛，这是该项目的主要目标。通过改善观众体验，更多的学生被吸引到大学网络防御比赛，并最终到网络安全相关领域。该工具也有利于竞赛参与者，特别是可以使用该工具进行网络安全可视化的学生团队。

The goal of this project is to stimulate interest in cybersecurity competitions through the development of a visualization and broadcast system targeted to enhancing learning and understanding among spectators. The system engages the spectator by presenting information pertinent to understanding the real-time details of the game in a usable and spirited manner. It accomplishes this through the combination of various techniques, including real-time network security visualization, live video and audio monitoring, animation, computer graphics and commentary. As a result, the project improves the educational value and excitement for the spectator and broaden interest in the field of cybersecurity. The proposed tool captures computer and network activities for all the competing teams and present them in a user-friendly manner for the benefit of the spectator using state-of-the-art broadcasting, animation and commentary. Although visualization has been utilized at large-scale cyber defense competition, such as the Mid-Atlantic Collegiate Cyber Defense Competition, it is still used only in a limited way. Further, it does not target the spectator in a serious way and it is rarely used for small-scale cyber defense competitions, which is the main target of this project. By improving the spectator experience, more students are attracted to collegiate cyber defense competitions and ultimately to cyber security related fields. The tool is also beneficial to competition participants, especially to student teams who could use the tool for network security visualization.