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Memorias de investigación
Communications at congresses:
STONE: A Stream-based DDoS Defense Framework
Year:2013
Research Areas
  • Information technology and adata processing
Information
Abstract
An effective Distributed Denial of Service (DDoS) defense mechanism must guarantee legitimate users access to an Internet service masking the effects of possible attacks. That is, it must be able to detect threats and discard malicious packets in a online fashion. Given that emerging data streaming technology can enable such mitigation in an effective manner, in this paper we present STONE, a stream-based DDoS defense framework, which integrates anomaly-based DDoS detection and mitigation with scalable data streaming technology. With STONE, the traffic of potential targets is analyzed via continuous data streaming queries maintaining information used for both attack detection and mitigation. STONE provides minimal degradation of legitimate users traffic during DDoS attacks and it also faces effectively flash crowds. Our preliminary evaluation based on an implemented prototype and conducted with real legitimate and malicious traffic traces shows that STONE is able to provide fast detection and precise mitigation of DDoS attacks leveraging scalable data streaming technology.
International
Si
Congress
Symposium on Applied Computing
960
Place
Coimbra, Portugal
Reviewers
Si
ISBN/ISSN
978-1-4503-1656-9
10.1145/2480362.2480517
Start Date
18/03/2013
End Date
22/03/2013
From page
807
To page
812
SAC '13 Proceedings of the 28th Annual ACM Symposium on Applied Computing
Participants
  • Autor: Mar Callau Zori (UPM)
  • Autor: Ricardo Jimenez Peris (UPM)
  • Autor: Vincenzo Massimiliano Gulisano . (UPM)
  • Autor: Marina Papatriantafilou (Chalmers University of Technology, Gothenburg,Suecia)
  • Autor: Zhang Fu (Chalmers University of Technology, Gothenburg,Suecia)
  • Autor: Marta Patiño Martinez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Laboratorio de sistemas distribuidos (LSD)
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