Open AccessEXTRACTION OF TRAFFIC FEATURES IN SOFTWARE- DEFINED NETWORKS USING AN SDN CONTROLLER
Author(s) -
Sergey Volkov,
Ilya I. Kurochkin
Publication year - 2021
Publication title -
9th international conference "distributed computing and grid technologies in science and education"
Language(s) - English
Resource type - Conference proceedings
DOI - 10.54546/mlit.2021.12.32.001
Subject(s) - computer science , software defined networking , controller (irrigation) , network topology , distributed computing , process (computing) , software , grid , set (abstract data type) , network simulation , computer network , real time computing , operating system , agronomy , geometry , mathematics , biology , programming language
Machine learning methods can be used to solve the problems of detecting and countering attacks onsoftware-defined networks. For such methods, it is necessary to prepare a large amount of initial datafor training. Mininet is used as a modeling environment for SDN. The main tasks of modeling asoftware-defined network are studying traffic within the network, as well as practicing variousscenarios of attacks on network elements. The SDN controller ONOS (Open Network OperatingSystem) is used as the network controller. Various network topologies are considered in the modeling.The possibility of analyzing information about traffic within the network using an SDN controller inreal time is investigated, as well as the possibility of collecting information in the form of a set offeatures. Modeling of software-defined networks under different initial conditions and for differentattack scenarios can be carried out on a distributed computing system. Since the computationalproblem to be solved can be divided according to the data into many autonomous tasks, it is possibleto use desktop grid system and voluntary distributed computing to speed up the process.