Not logged in.
Quick Search - Contribution
Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Deciphering DDoS Attacks Through a Global Lens |
| Organization Unit | |
| Authors |
|
| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
|
| ISBN | 978-3-903176-59-1 |
| ISSN | 2165-963X |
| Event Title | 2023 19th International Conference on Network and Service Management (CNSM) |
| Event Type | conference |
| Event Location | Niagara Falls, ON, Canada |
| Event Start Date | October 30 - 2023 |
| Event End Date | November 2 - 2023 |
| Series Name | Proceedings of the International Conference on Network and Service Management (CNSM) |
| Publisher | Institute of Electrical and Electronics Engineers |
| Abstract Text | With a rising frequency and scale, Distributed Denial-of-Service (DDoS) attacks persist as a critical cybersecurity issue. While shared attack fingerprints aid many intrusion detection systems in identifying threats, their application for DDoS attacks remains limited due to their distinct nature. However, fingerprints observed from multiple locations can provide valuable insights. This paper presents Reassembler, a novel platform for achieving a global DDoS attack analysis using attack fingerprints recorded from various locations. Reassembler consolidates these fingerprints into a unified view allowing to obtain a global overview of DDoS attacks. The evaluation, conducted on four simulated scenarios, demonstrates Reassembler's ability to extract novel properties, such as the count of intermediate nodes and the estimated percentage of spoofed IPs. |
| Digital Object Identifier | 10.23919/cnsm59352.2023.10327886 |
| Other Identification Number | merlin-id:24397 |
| PDF File |
Download from ZORA
|
| Export |
BibTeX
EP3 XML (ZORA)
|
| Keywords | Intrusion detection; Fingerprint recognition; Denial-of-service attack; Lenses; Distributed Denial-of-Service; Attack Fingerprints; Cooperative Defense |