Intelligent Information Security System for Language and History Education Using Machine Learning-based Intrusion Detection Algorithm

The recent spread of the internet has led to a significant increase in the use of personal online banking and e-commerce. Operations and marketing inside organizations, government, and banking sectors are experiencing tremendous growth, primarily through online shopping malls and web pages. There is a growing prevalence of cyber-attacks, including sophisticated strikes, unauthorized cyber intrusions, and the compromise of electronic data. Defensive measures, operational exercises, and Information Security (IS) incidents are not implemented effectively. This study uses Machine Learning to establish an Intrusion Detection System (IDS) for language and history education. IS training is being implemented for affiliated staff and educational subjects utilizing the Information Technology (IT) infrastructure to address IS incidents resulting from fraudulent emails and file attachments that commonly arise in government organizations and private enterprises. This approach could preempt IS incidents resulting from phishing emails and mitigate economic losses by averting data loss or system stoppage.