Not logged in.
Quick Search - Contribution
Contribution Details
| Type | Master's Thesis |
| Scope | Discipline-based scholarship |
| Title | CH2TF – Collaborative Heavy HitterTraffic Filtering |
| Organization Unit | |
| Authors |
|
| Supervisors |
|
| Language |
|
| Institution | University of Zurich |
| Faculty | Faculty of Business, Economics and Informatics |
| Date | 2022 |
| Abstract Text | The emergence of DDoS attacks posed a paramount problem in the advent of the Internet’s growth. Indeed, DDoS attacks occur regularly and lead to major service outages that incur high costs in various dimensions. Thus, this thesis explores the topic of collaboration between parties to enable a distributed defense approach. Hence, CH2TF proposes a collaborative signaling protocol to enable heavy hitter (HH) traffic filtering. However, while HH are large traffic flows in the network, their global visibility is often unclear. Consequently, this collaborative approach clears up the otherwise opaque visibility of global HH. While related work has continuously been addressing DDoS defense techniques, there currently exists a research gap regarding a collaboration effort to identify HH. A prototype has been designed and implemented to showcase the workings of the signaling protocol. Moreover, the evaluation results of the prototype showed that HH of specific ongoing attack cases (i.e., volumetric attacks) are successfully detected in a collaborative manner with sufficiently high accuracy (0.85), though the prototype does not fare that well in other specific attack detection scenarios (i.e., botnets, 0.42). Additionally, the evaluation results showed that the analyses to detect attacks and HH are performant and are expected to scale well. |
| PDF File |
Download
|
| Export |
BibTeX
|