Author : T S Prabhakar 1
Date of Publication :6th August 2022
Abstract: 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.
- Aryan Mokhtari, Leyla Sadighi, Behnam Bahrak, and Mojtaba Eshghie 2020.”HYBRID MODEL FOR ANOMALY DETECTION ON CALL DETAIL RECORDS BY TIME SERIES FORECASTING” Hybrid Model for Anomaly Detection on Call Detail Records by Time Series Forecasting | DeepAI
- Niko Reunanem, Tomi Raty, Timo Lintonen  “Automatic Optimization of Outlier detection ensembles using a limited number of outlier examples
- XI PENG, LIANG LIU, AND LEI ZHANG 2019 “Hive-Based Retrieval Optimization Scheme for Long-Term Storage of Massive Call Detail Records” A Hive-Based Retrieval Optimization Scheme for Long-Term Storage of Massive Call Detail Records | IEEE Journals & Magazine | IEEE Xplore
- Etienne Thuilier, Laurent Moalic, Sid Ahmed Lamrous, and Alexandre Caminada 2019. “Clustering Weekly Patterns of Human Mobility Through Mobile Phone Data” Clustering Weekly Patterns of Human Mobility Through Mobile Phone Data (archives-ouvertes.fr)
- Al-Thanoon NA, Qasim OS, Algamal ZY (2019) A new hybrid firefly algorithm and particle swarm optimization for tun ing parameter estimation in penalized support vector machine with application in chemometrics. Chemom Intell Lab Syst 184:142–152
- Alswaitti M, Albughdadi M, Isa NAM (2018) Density-based particle swarm optimization algorithm for data clustering. Expert Syst Appl 91:170–18
- Kashif Sultan, Hazrat Ali, Zhongshan Zhang 2018 “Call Detail Records Driven Anomaly Detection and Traffic Prediction in Mobile Cellular Networks” https:// ieeexplore.ieee.org/document/8419685
- T. Andrysiak, L. Saganowski, M. Maszewski and A. Marchewka. Detection of Network Attacks Using Hybrid ARIMA-GARCH Model. In Proceedings of the Twelfth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, Jul 2018, pp.1-12.
- Arockia Panimalar.S  “Nature inspired Metaheuristic Algorithms”
- Nai Chun Chen, Wanqin Xie, Jenny Xie, Kent Larson and Roy E. Welsch 2017 “Comprehensive Predictions of Tourists’ Next Visit Location Based on Call Detail Records using Machine Learning and Deep Learning methods
- Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian and Corrado Moiso  “Identifying user habbits through data mining on call data records”
- M. S. Parwez, D. B. Rawat and M. Garuba. Big Data Analytics for User-Activity Analysis and User-Anomaly Detection in Mobile Wireless Network. IEEE Transactions on Industrial Informatics, 2017, 13(4): 2058-2065.
- Maziar Yazdani, Faribroz Jolai . “Lion Optimization Algorithm(LOA) : A nature inspired metaheuristic algorithm”
- Tamer F. Ghanem , Wail S. Elkilani , Hatem M. Abdul-kader  “A Hybrid Approach for Efficient Anomaly Detection using Metaheuristic Methods”
- E. Letouze, “Key Facts & Figures on Big Data and Call ´ Detail Records,” 2014, Accessed Jan 2017.