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Contribution Details
| Type | Bachelor's Thesis |
| Scope | Discipline-based scholarship |
| Title | GridDB - Enhanced Visualization and Sharing of DDoS Fingerprints |
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| Institution | University of Zurich |
| Faculty | Faculty of Business, Economics and Informatics |
| Date | 2022 |
| Abstract Text | As the significance of internet services grows, the need to maintain their online presence likewise grows. During Covid-19, we witnessed the significance of digitization in our daily lives. For example, in Education, despite the crisis, students were able to attend online courses and take tests. But also in several other vital disciplines. However, relying only on digital gadgets to provide a service is problematic since we will be unable to complete the intended work if they go down. There are several reasons why an internet service might go down, including a power outage, faulty source code, or a cyber assault. GridDB focuses on a well-known issue in computer networks, Distributed Denial of Service (DDoS) attacks. DDoS attacks are a significant threat to Internet availability that has not been resolved despite several commercial and academic initiatives. DDoS attacks occur on a daily basis, and as society continues to digitize, these attacks offer several dangers to organizations and people. In previous work, the DDoS Clearing-house system was built on sharing DDoS fingerprints, a signature of DDoS attacks registered by partners in a cooperative alliance to counter DDoS attacks. GridDB provides a straightforward Frontend to manage handling packet captures (PCAPs) and sharing information. Thus, the Frontend should interface with DDoS Clearing-House to update its status. Therefore, portable Backend and Frontend applications were implemented. The primary outcome of this work is the integration of the DDoSCH components into one fully automated and portable system, replacing the terminal-based application provided by the DDoS Clearing-House with a user-friendly UI. The implemented application allows users to view analyzed attack data in various visualizations to increase the perception and understanding of the attack nature, which gives users the ability to mitigate similar attacks in the future and to protect their potential infrastructure. |
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