Abstract
This research presents a novel combined learning method for developing a novel DDoS model that is expandable and flexible property of deep learning. This method can advance the current practice and problems in DDoS detection. A combined method of deep learning with knowledge-graph classification is proposed for DDoS detection. Whereas deep learning algorithm is used to develop a classifier model, knowledge-graph system makes the model expandable and flexible. It is analytically verified with CICIDS2017 dataset of 53.127 entire occurrences, by using ten-fold cross validation. Experimental outcome indicates that 99.97% performance is registered after connection. Fascinatingly, significant knowledge ironic learning for DDoS detection varies as a basic behavior of DDoS detection and prevention methods. So, security professionals are suggested to mix DDoS detection in their internet and network.
Reference30 articles.
1. Shirazi, “Evaluation of anomaly detection techniques for scada communication resilience,” IEEE Resilience Week, 2016.
2. Mirai N., “Mirai-botnet,” 2016. [Online]. Available: https://www.cyber.nj.gov/threat-profiles/botnetvariants/mirai-botnet. [Accessed 31 December 2019].
3. Zhou H., Liu B. and Wang D., “Design and research of urban intelligent transportation system based on the Internet of Things,” Internet of Things, pp. 572–580, 2012.
4. Lim S., Yang S. and Y Kim, “Controller scheduling for continued SDN operation under DDoS attacks,” Electronic Letter, pp. 1259–1261, 2015.
5. Buck A. and Govan E., “A survey of data mining and machine learning methods for cyber security intrusion detection,” IEEE Communications Surveys & Tutorials, Vol. 18.2, 2016.
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