| Title | Scalable DDoS Mitigation System |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Blazek, Petr, Gerlich, Tomas, Martinasek, Zdenek |
| Conference Name | 2019 42nd International Conference on Telecommunications and Signal Processing (TSP) |
| Date Published | jul |
| Keywords | composability, Computer crime, computer network security, data center, data centers, DDoS, DDoS attack mitigation, DDoS attacks filtering, DDoS mitigation system, detection, distributed denial of service attacks, filtration, Hardware, Human Behavior, Internet, IP networks, Metrics, modular filtering system, Monitoring, multitarget DDoS attacks, protection, pubcrawl, Resiliency, Servers, Tools |
| Abstract | Distributed Denial of Service attacks (DDoS) are used by attackers for their effectiveness. This type of attack is one of the most devastating attacks in the Internet. Every year, the intensity of DDoS attacks increases and attackers use sophisticated multi-target DDoS attacks. In this paper, a modular system that allows to increase the filtering capacity linearly and allows to protect against the combination of DDoS attacks is designed and implemented. The main motivation for development of the modular filtering system was to find a cheap solution for filtering DDoS attacks with possibility to increase filtering capacity. The proposed system is based on open-source detection and filtration tools. |
| DOI | 10.1109/TSP.2019.8768869 |
| Citation Key | blazek_scalable_2019 |
Scalable DDoS Mitigation System