Performance Evaluation of Random Forest Algorithm for DDoS Attacks Detection in Wireless Sensor Network Using Numericalization and Normalization as Feature Engineering Techniques
H. Sulaiman, I. O. OYEFOLAHAN, S.A. Bashir, Idris Mohammed Kolo, Juliana Ngozi Ndunagu · Advances in Multidisciplinary & Scientific Research Journal Publication · 2023
Distributed Denial-Of-Service (DDoS) attacks in Wireless Sensor Networks (WSNs) aims to decrease the availability of a service by exhausting the network resources available for traffic, thus preventing legitimate users from accessing the services. This paper evaluates the performance of Random Forest algorithm for distributed denial of service attacks detection in Wireless Sensor Networks (WSNs) with numericalization and normalization as feature engineering techniques and exploratory data analysis to build the Distributed Denial of Service (DDoS) attacks detection model. The dataset was streamlined for optimum performance of the selected algorithms. The experimental result shows the Random Forest achieved an accuracy of 90%, F1 score of 90%, precision of 91% and recall of 90%. The outcomes revealed that the random forest model performed better than the competing models in terms of accuracy, F1 score, precision, and recall. The results of this study shed light on the efficiency of machine learning models in identifying DDoS attacks and suggest areas for future study. The study stresses the significance of data preparation and cleaning in the process and offers a framework for the application of machine learning models in network intrusion detection systems. Keywords: Wireless Sensor Networks, Distributed Denial of Service, Intrusion Detection System, Random Forest, Machine Learning. Proceedings Citation Format Sulaiman, H, Oyefolahan, I.O., Bashir, S.A., Kolo, I.M. & Ndunagu J.N. (2023): Performance Evaluation of Random Forest Algorithm for DDoS Attacks Detection in Wireless Sensor Network Using Numericalization and Normalization as Feature Engineering Techniques. Proceedings of the Cyber Secure Nigeria Conference. Nigerian Army Resource Centre (NARC) Abuja, Nigeria. 11-12th July, 2023. Pp 19-26. https://cybersecurenigeria.org/conference-proceedings/volume-2-2023/ dx.doi.org/10.22624/AIMS/CSEAN-SMART2023P2.