Enhancing Network Resilience through AI-Driven Anomaly Detection in Wireless Communication Systems

Muqorobin Muqorobin, Mexy Sanji Wose

Abstract


With the growing complexity of wireless communication networks, ensuring their resilience against anomalies and disruptions has become critical. This paper explores the application of Artificial Intelligence (AI) in enhancing network resilience through anomaly detection. A framework leveraging machine learning (ML) techniques for real-time anomaly detection and mitigation is proposed. The experimental results demonstrate the efficacy of the framework in reducing network downtime and improving overall performance metrics. This research contributes to the field by integrating advanced AI methodologies with wireless communication systems, addressing a pressing challenge in modern network infrastructures.

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Ahmed, M., Mahmood, A. N., & Hu, J. (2016). A survey of network anomaly detection techniques. Journal of Network and Computer Applications, 60, 19-31.

Muqorobin, M. (2021). Analysis Of Fee Accounting Information Systems Lecture At Itb Aas Indonesia In The Pandemic Time Of Covid-19. International Journal of Economics, Business and Accounting Research (IJEBAR), 5(3), 1994-2007.

Dagnaw, G. (2020). Artificial intelligence towards future industrial opportunities and challenges.

Muqorobin M. The Decision Support System for Selecting the Best Teacher for Birull Walidaini Using the SAW Method. International Journal of Computer and Information System (IJCIS). 2023 Aug 29;4(3):105-12.

Verma, S., & Srivastava, P. (2018). Anomaly detection in network traffic using machine learning algorithms. IEEE Access, 6, 59514-59523.Permana, X. E. K., Rais, N. A. R., & Muqorobin, M. (2024). Classification of Cattle Diseases in Semin District Using Convolutional Neural Network (CNN). International Journal of Computer and Information System (IJCIS), 5(2), 125-131.

Muryani, A. S., & Muqorobin, M. (2020). Decision Support System Using Cloud-Based Moka Pos Application To Easy In Input In Orange Carwash Blulukan Flash N0. 110 Colomadu. International Journal of Computer and Information System (IJCIS), 1(3), 66-69.

Muqorobin, M., Hisyam, Z., Mashuri, M., Hanafi, H., & Setiyantara, Y. (2019). Implementasi Network Intrusion Detection System (NIDS) Dalam Sistem Keamanan Open Cloud Computing. Majalah Ilmiah Bahari Jogja, 17(2), 1-9.

Alzaidi, A. A. (2018). Impact of artificial intelligence on performance of banking industry in Middle East. International Journal of Computer Science and Network Security, 18(10), 140-148.

Muqorobin, M., & Rais, N. A. R. (2022). Comparison of PHP programming language with codeigniter framework in project CRUD. International Journal of Computer and Information System (IJCIS), 3(3), 94-98.

West, D. M., & Allen, J. R. (2018). How artificial intelligence is transforming the world. Brookings Institution. URL: https://www. brookings. edu/research/howartificial-intelligence-is-transforming-the-world/(дата обращения: 07.04. 2021). Научное издание.

Muqorobin, M., Kusrini, K., Rokhmah, S., & Muslihah, I. (2020). Estimation System For Late Payment Of School Tuition Fees. International Journal of Computer and Information System (IJCIS), 1(1), 1-6.

Prasetya, A., Muqorobin, M., & Fitriyadi, F. (2021). Operating System Development Based on Open Source Software in Online Learning Systems. International Journal of Computer and Information System (IJCIS), 2(2), 45-48.

Taj, I., & Zaman, N. (2022). Towards industrial revolution 5.0 and explainable artificial intelligence: Challenges and opportunities. International Journal of Computing and Digital Systems, 12(1), 295-320.

Muqorobin, M., Rokhmah, S., Muslihah, I., & Rais, N. A. R. (2020). Classification of Community Complaints Against Public Services on Twitter. International Journal of Computer and Information System (IJCIS), 1(1), 7-10.

De Silva, D., Sierla, S., Alahakoon, D., Osipov, E., Yu, X., & Vyatkin, V. (2020). Toward intelligent industrial informatics: A review of current developments and future directions of artificial intelligence in industrial applications. IEEE Industrial Electronics Magazine, 14(2), 57-72.

Muqorobin, M., Rais, N. A. R., & Efendi, T. F. (2021, December). Aplikasi E-Voting Pemilihan Ketua Bem Di Institut Teknologi Bisnis Aas Indonesia Berbasis Web. In Prosiding Seminar Nasional & Call for Paper STIE AAS (Vol. 4, No. 1, pp. 309-320)

Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can artificial intelligence transform higher education?. International Journal of Educational Technology in Higher Education, 17, 1-12..

Muqorobin, M., Utomo, P. B., Nafi’Uddin, M., & Kusrini, K. (2019). Implementasi Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit Ayam Berbasis Android. Creative Information Technology Journal, 5(3), 185-195.

Santoso, L. P., Muqorobin, M., & Fatkhurrochman, F. (2020). Online Analysis System of Application of Partners for Land Asrocument Officers of Sukoharjo District. International Journal of Computer and Information System (IJCIS), 1(3), 59-61.

Abdullah, R. W., Wulandari, S., Muqorobin, M., Nugroho, F. P., & Widiyanto, W. W. (2019). Keamanan Basis Data pada Perancangan Sistem Kepakaran Prestasi Sman Dikota Surakarta. Creative Communication and Innovative Technology Journal, (1), 13-21.

Muqorobin, M., & Ma'ruf, M. H. (2022). Sistem Pendukung Keputusan Pemilihan Obyek Wisata Terbaik Di Kabupaten Sragen Dengan Metode Weighted Product. Jurnal Tekinkom (Teknik Informasi dan Komputer), 5(2), 364-376.

Huang, S., Yang, J., Fong, S., & Zhao, Q. (2020). Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges. Cancer letters, 471, 61-71.

Liagkou, V., Stylios, C., Pappa, L., & Petunin, A. (2021). Challenges and opportunities in industry 4.0 for mechatronics, artificial intelligence and cybernetics. Electronics, 10(16), 2001.

Jannah, A. M., Muqorobin, M., & Widiyanto, W. W. (2020). Analysis Of Kids Garden Dapodic Application System. International Journal of Computer and Information System (IJCIS), 1(3), 55-58.

Nur, U. C., & Muqorobin, M. (2020). Development of smart working assistance application for J&T Express couriers In Juwiring Klaten Branch. International Journal of Computer and Information System (IJCIS), 1(3), 52-54.

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.

Rais, N. A. R., & Muqorobin, M. (2021). Analysis Of Kasir Applications In Sales Management Information Systems at ASRI Store. International Journal of Computer and Information System (IJCIS), 2(2), 40-44.

Muqorobin, M., & Rais, N. A. R. (2020). Analysis of the role of information systems technology in lecture learning during the corona virus pandemic. International Journal of Computer and Information System (IJCIS), 1(2), 47-51.

Kusrini, K., Luthfi, E. T., Muqorobin, M., & Abdullah, R. W. (2019, November). Comparison of Naive Bayes and K-NN Method on Tuition Fee Payment Overdue Prediction. In 2019 4th International conference on information technology, information systems and electrical engineering (ICITISEE) (pp. 125-130). IEEE.

Benbya, H., Davenport, T. H., & Pachidi, S. (2020). Artificial intelligence in organizations: Current state and future opportunities. MIS Quarterly Executive, 19(4).

Rais, N. A. R., & Muqorobin, M. (2020). Evaluation Information System Using UTAUT (Case Study: UMS Vocational School). International Journal of Computer and Information System (IJCIS), 1(2), 40-46.

Muqorobin, M., & Rais, N. A. R. (2020, November). Analisis Peran Teknologi Sistem Informasi Dalam Pembelajaran Kuliah Dimasa Pandemi Virus Corona. In Prosiding Seminar Nasional & Call for Paper STIE AAS (Vol. 3, No. 1, pp. 157-168).

Johnson, M., Jain, R., Brennan-Tonetta, P., Swartz, E., Silver, D., Paolini, J., ... & Hill, C. (2021). Impact of big data and artificial intelligence on industry: developing a workforce roadmap for a data driven economy. Global Journal of Flexible Systems Management, 22(3), 197-217.

Muslihah, I., & Muqorobin, M. (2020). Texture characteristic of local binary pattern on face recognition with probabilistic linear discriminant analysis. International Journal of Computer and Information System (IJCIS), 1(1), 22-26.

Fitriyadi, F., & Muqorobin, M. (2021). Prediction System for the Spread of Corona Virus in Central Java with K-Nearest Neighbor (KNN) Method. International Journal of Computer and Information System (IJCIS), 2(3), 80-85.

He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 770-778).

Muqorobin, M., Apriliyani, A., & Kusrini, K. (2019). Sistem Pendukung Keputusan Penerimaan Beasiswa dengan Metode SAW. Respati, 14(1).

Tulaila, R., & Muqorobin, M. (2021). Analysis of Adi Soemarmo Solo Airport Parking Payment System. International Journal of Computer and Information System (IJCIS), 2(1), 1-3.

Ahmed, M., Mahmood, A. N., & Hu, J. (2016). A survey of network anomaly detection techniques. Journal of Network and Computer Applications, 60, 19-31.

Lee, D., & Yoon, S. N. (2021). Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges. International journal of environmental research and public health, 18(1), 271.


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