Anomaly Detection Using Lion Optimization Algorithm in Mobile Network Data

Mobile network data contains the information of users. Metaheuristic algorithms are very popular for solving many engineering problems. In the proposed work CDR dataset, in which the smsin data column is utilized to find out the anomalies. Lion optimization algorithm, which is a metaheuristic population based is used for detecting the anomalies. In which the behaviours like roaming, hunting etc…Are used for optimization, where the proposed work has achieved the accuracy of 95%. Here SVM and Randomforest algorithms are used for classifying the detected anomalies from optimization algorithm. The detected anomalies are visualized through graphs for better analysis.