• DocumentCode
    2957002
  • Title

    A complex analysis approach to the modelling for the tracing and identification of Denial-of-Service attackers

  • Author

    Viana, Mateus Mosca ; De Souza, José Neuman

  • fYear
    2007
  • fDate
    14-17 May 2007
  • Firstpage
    124
  • Lastpage
    128
  • Abstract
    The denial-of-service (DoS) and distributed denial-of-service (DDoS) are two of the most raging attacks against computers networks, specially the Internet. The first action all the countermeasures to this kind of attack use to propose is the data collection from the packets, to acquire lots of clues from attack space. Then use these data to reconstruct the attack paths and determine the origins of the attack. Among these suggested countermeasures there exist those using the probability packet marking (PPM) approach, as a manner of data acquisition. On the other hand, the attack paths reconstruction may be made by means of several distinct methods. This article presents the use of some aspects of the theory of complex analysis in modelling the tracing and identifying computers network denial-of-service attackers.
  • Keywords
    Internet; data acquisition; security of data; telecommunication services; Internet; attack paths reconstruction; complex analysis approach; computers networks; data acquisition; data collection; denial-of-service attackers; distributed denial- of-service; probability packet marking approach; raging attacks; theory of complex analysis; Communication systems; Computer crime; Computer networks; Computer worms; Data acquisition; IP networks; Internet; Protocols; Search methods; Topology; Attacker Identification; Attacker Tracing; Complex Analysis; Denail-of-Service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications and Malaysia International Conference on Communications, 2007. ICT-MICC 2007. IEEE International Conference on
  • Conference_Location
    Penang
  • Print_ISBN
    978-1-4244-1094-1
  • Electronic_ISBN
    978-1-4244-1094-1
  • Type

    conf

  • DOI
    10.1109/ICTMICC.2007.4448619
  • Filename
    4448619