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Simulation of Attacks on Software-defined Networks

Student: Artem Kulikov

Supervisor: Tamara Voznesenskaya

Faculty: Faculty of Computer Science

Educational Programme: Data Science and Business Analytics (Bachelor)

Year of Graduation: 2024

As the number of corporate networks and data center networks is receiving significant growth the problem of managing all of them has become a significant issue. Software-defined networking (SDN) emerged primarily to address the limitations of traditional network architectures such as scalability, flexibility, and management. SDNs separate the network control plane from the data plane, allowing for centralized management, more efficient traffic routing, and easier implementation of network changes and policies. Since SDN takes an entirely different approach to network infrastructure it raises new security problems. Understanding how SDN can be affected by malicious influence is crucial to develop attack detection and prevention tools. In this thesis the implementation of Software-defined networks is presented as well as modeling of potential attack scenarios for such a network.

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