Memorias de investigación
Ponencias en congresos:
STONE: A Stream-based DDoS Defense Framework
Año:2013

Áreas de investigación
  • Ciencias de la computación y tecnología informática

Datos
Descripción
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.
Internacional
Si
Nombre congreso
Symposium on Applied Computing
Tipo de participación
960
Lugar del congreso
Coimbra, Portugal
Revisores
Si
ISBN o ISSN
978-1-4503-1656-9
DOI
10.1145/2480362.2480517
Fecha inicio congreso
18/03/2013
Fecha fin congreso
22/03/2013
Desde la página
807
Hasta la página
812
Título de las actas
SAC '13 Proceedings of the 28th Annual ACM Symposium on Applied Computing

Esta actividad pertenece a memorias de investigación

Participantes
  • 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

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  • Creador: Grupo de Investigación: Laboratorio de sistemas distribuidos (LSD)