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
Link To Document :
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