The approach to the task of detecting DDoS attacks based on the formation of secondary informative characteristics of its states on the observed parameters of data packets headers of network traffic is considered. Secondary informative characteristics characterize the traffic time structure or its behavioral character. The problem is solved by the method of dynamic filtering of traffic using various operators: the causal transformation operator and the evolution operator.
|Journal||IOP Conference Series: Materials Science and Engineering|
|Publication status||Published - 26 Apr 2019|
|Event||3rd International Conference on Cognitive Robotics - Tomsk, Russian Federation|
Duration: 22 Nov 2018 → 24 Nov 2018
ASJC Scopus subject areas
- Materials Science(all)