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Distributed learning mechanism against flooding network attacks

Author
Berral, J.; Alonso, J.; Poggi, N.; Gavaldà, R.; Parashar, M.; Torres, J.
Type of activity
Presentation of work at congresses
Name of edition
XIX Jornadas de Paralelismo
Date of publication
2008
Presentation's date
2008-09
Book of congress proceedings
Actas de las XIX Jornadas de Paralelismo
First page
674
Last page
679
Abstract
Adaptive techniques based on machine learning and data mining are gaining relevance in self-management and self-defense for networks and distributed systems. In this paper, we focus on early detection and stopping of distributed flooding attacks and network abuses. We extend the framework proposed by Zhang and Parashar (2006) to cooperatively detect and react to abnormal behaviors before the target machine collapses and network performance degrades. In this framework, nodes in an intermediate ne...
Group of research
CAP - High Performace Computing Group
LARCA - Laboratory of Relational Algorithmics, Complexity and Learnability

Participants

  • Berral Garcia, Josep Lluis  (author and speaker )
  • Alonso López, Javier  (author and speaker )
  • Poggi Mastrokalo, Nicolas  (author and speaker )
  • Gavaldà Mestre, Ricard  (author and speaker )
  • Parashar, Manish  (author and speaker )
  • Torres Viñals, Jordi  (author and speaker )