Deep and Machine Learning Approaches for Anomaly-Based Intrusion Detection of Imbalanced Network Traffic

Recently, cybersecurity threats have increased dramatically, and the techniques used by the attackers continue to evolve and become ingenious during the attack. Moreover, the complexity and frequent occurrence of imbalanced class distributions in most datasets indicate the need for extra research efforts. The objective of this article is to utilize various techniques for handling imbalanced datasets to build an effective intrusion detection...