Jieren Cheng1, 2, Junqi Li2, *, Xiangyan Tang2, Victor S. Sheng3, Chen Zhang2, Mengyang Li2
CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1423-1443, 2020, DOI:10.32604/cmc.2020.06176
Abstract Distributed Denial of Service (DDoS) attack has become one of the most
destructive network attacks which can pose a mortal threat to Internet security. Existing
detection methods cannot effectively detect early attacks. In this paper, we propose a
detection method of DDoS attacks based on generalized multiple kernel learning (GMKL)
combining with the constructed parameter R. The super-fusion feature value (SFV) and
comprehensive degree of feature (CDF) are defined to describe the characteristic of attack
flow and normal flow. A method for calculating R based on SFV and CDF is proposed to
select the combination More >
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