• DocumentCode
    2162333
  • Title

    Detection of DoS attacks through Fourier transform and mutual information

  • Author

    Mongelli, M. ; Aiello, M. ; Cambiaso, E. ; Papaleo, G.

  • Author_Institution
    National Research Council of Italy, Institute of Electronics, Computer and Telecommunication Engineering, Genova, Italy, 16149
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    7204
  • Lastpage
    7209
  • Abstract
    Due to their recent appearance and the reduced requirements in terms of network bandwidth, Slow Denial of Service Attacks detection represents a particularly challenging problem. This paper presents a novel detection method, analyzing spectral features of the network traffic over small time horizons. The proposed method has been validated by extrpolating data referred to real traffic traces, elaborated over the Local Area Network of our research institute. We have considered different kinds of attacks and results show how the proposed approach is reliable and applicable also in other cybersecurity contexts.
  • Keywords
    Computer crime; Feature extraction; Measurement; Monitoring; Protocols; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7249476
  • Filename
    7249476