Any concerted effort to breach a network's security measures in order to compromise its availability, privacy, or both is
considered an incursion. Any attempt to violate the rules, whether they be those for acceptable use or for fundamental security, is
considered an intrusion. We say that there has been a breach when an attacker uses a trustworthy person or the interconnected web to
get access to a system, elevate their privileges, and then do something malicious with them. The term "intrusion detection" refers to the
steps taken to identify potential breaches in privacy, security, or resource availability. The article details the process of creating a
machine learning-based intelligent intrusion detection system. Feature optimization is done using ACO, whereas classification is done
using Support Vector Machine, K-NN, and the Naïve Bayes algorithm.
Keywords- Intrusion Detection, Feature Optimization, ACO, Machine Learning, SVM, KNN, Accuracy, Specificity, Sensitivity