Thesis Open Access
MULATU MEKONNEN
{ "DOI": "10.20372/nadre:5778", "author": [ { "family": "MULATU MEKONNEN" } ], "issued": { "date-parts": [ [ 2019, 6, 1 ] ] }, "abstract": "<p>Software-defined networking architectural framework eases the life of the network<br>\nadministrators by isolating the data plane from the control plane. This facilitates<br>\neasy configuration of the network, provides a programmable interface for developing<br>\napplications related to management, security, logging etc. and the centralized logical<br>\ncontroller gives more control over the entire network, which has the total visibility<br>\nof the network.<br>\nThese advantages of SDN also expose the network to the vulnerabilities and the<br>\nimpact of the attacks are much severe when compared to conventional networks,<br>\nwhere the network devices in itself provided protection from the attacks and limits<br>\nthe scope of the attacks.<br>\nIn this paper, we explore various attacks that can be launched on SDN at different<br>\nlayers. We also evaluate some of the existing security methods in mitigating the<br>\nattacks. We also explore a possible solution to prevent DDoS attacks using entropy.<br>\nA Distributed Denial of Service (DDoS) attack is a DoS attack utilizing multiple<br>\ndistributed attack sources. Every network in the system has an entropy. Increase<br>\nin randomness causes decrease in entropy. To mitigate this threat, this project<br>\nproposes to use the central control of SDN for attack detection and introduces a<br>\nsolution that is effective and lightweight in terms of the resources that it uses.<br>\nMore precisely, this project shows how DDoS attacks can exhaust controller resources<br>\nand provides a solution to detect such attacks based on the entropy variation of<br>\nthe destination IP address. Based on this value if it drops below threshold , we are<br>\nblocking the specific port in the switch and bring the port down. This method is able<br>\nto detect DDoS within the first five hundred packets of the attack traffic</p>", "title": "Internet Protocol (IP)-Based Distributed Denial of Server (DDoS) Attack Detection and Mitigation for Software Defined Networking (SDN) Controller", "type": "thesis", "id": "5778" }
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