| Title | A New Machine Learning-based Collaborative DDoS Mitigation Mechanism in Software-Defined Network |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Mohammed, Saif Saad, Hussain, Rasheed, Senko, Oleg, Bimaganbetov, Bagdat, Lee, JooYoung, Hussain, Fatima, Kerrache, Chaker Abdelaziz, Barka, Ezedin, Alam Bhuiyan, Md Zakirul |
| Conference Name | 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) |
| Keywords | attack detection, composability, Computer crime, computer network security, DDoS attack mitigation, DDoS Attacks, DDoS detection, DDoS mitigation technique, feature extraction, Human Behavior, Internet, learning (artificial intelligence), machine learning, Metrics, new-machine learning-based collaborative DDoS mitigation mechanism, pubcrawl, resilience, SDN, security, Servers, service attacks, Software Defined Network, software defined networking, software-based networks, software-driven network, Switches, telecommunication security, traditional network architecture |
| Abstract | Software Defined Network (SDN) is a revolutionary idea to realize software-driven network with the separation of control and data planes. In essence, SDN addresses the problems faced by the traditional network architecture; however, it may as well expose the network to new attacks. Among other attacks, distributed denial of service (DDoS) attacks are hard to contain in such software-based networks. Existing DDoS mitigation techniques either lack in performance or jeopardize the accuracy of the attack detection. To fill the voids, we propose in this paper a machine learning-based DDoS mitigation technique for SDN. First, we create a model for DDoS detection in SDN using NSL-KDD dataset and then after training the model on this dataset, we use real DDoS attacks to assess our proposed model. Obtained results show that the proposed technique equates favorably to the current techniques with increased performance and accuracy. |
| DOI | 10.1109/WiMOB.2018.8589104 |
| Citation Key | mohammed_new_2018 |
A New Machine Learning-based Collaborative DDoS Mitigation Mechanism in Software-Defined Network