@conference{Pasias2021497,

title = {Enabling cyber-attack mitigation techniques in a software defined network},

author = { A. Pasias and T. Kotsiopoulos and G. Lazaridis and A. Drosou and D. Tzovaras and P. Sarigiannidis},

url = {https://www.researchgate.net/publication/354417325_Enabling_Cyber-attack_Mitigation_Techniques_in_a_Software_Defined_Network},

doi = {10.1109/CSR51186.2021.9527932},

isbn = {978-1-6654-0285-9},

year  = {2021},

date = {2021-01-01},

journal = {Proceedings of the 2021 IEEE International Conference on Cyber Security and Resilience, CSR 2021},

pages = {497-502},

abstract = {Software Defined Networking (SDN) is an innovative technology, which can be applied in a plethora of applications and areas. Recently, SDN has been identified as one of the most promising solutions for industrial applications as well. The key features of SDN include the decoupling of the control plane from the data plane and the programmability of the network through application development. Researchers are looking at these features in order to enhance the Quality of Service (QoS) provisioning of modern network applications. To this end, the following work presents the development of an SDN application, capable of mitigating attacks and maximizing the network's QoS, by implementing mixed integer linear programming but also using genetic algorithms. Furthermore, a low-cost, physical SDN testbed was developed in order to evaluate the aforementioned application in a more realistic environment other than only using simulation tools. © 2021 IEEE.},

keywords = {Application programs, Genetic algorithms, Integer programming, Quality of Service, Security of data, Software Defined Networking},

pubstate = {published},

tppubtype = {conference}

}