Networks Cyber Security Model by Using Machine Learning Techniques
Keywords:
Cyber security, Network Monitoring, GMM, AI in cyber security, cyber-attackAbstract
Since artificial intelligence relies on learning just like humans, it is useful to use these algorithms to address cyber-attacks, which represent the greatest concerns for network users, especially companies and institutions, as a result of the dire consequences of these attacks such as large material losses and the leakage or falsification of important data. The methods used to detect cyber-attacks are slow or they detect attacks after their occurrence and then analyze them and issue reports. In this research, we propose a conceptual framework that contains new rules that are used along with the previous rules for the purpose of creating a network monitoring tool in order to counteract cyber-attacks in real-time by relying on artificial intelligence algorithms such as classification and prediction based on user behavior. GMM algorithm has been suggested in this paper because of its efficiency in comparison with the commonly used algorithms in this sector like k-means it depends on behavioral similarities, not on distance.
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Copyright (c) 2023 Farah Abbas Obaid Sari, Ali Abdulkarem Habib Alrammahi, Asaad Shakir Hameed, Haiffa Muhsan B. Alrikabi, Abeer A. Abdul–Razaq, Huda Karem Nasser, Mohammed F. AL-Rifaie
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