Handling class Imbalance problem in Intrusion Detection System based on deep learning

• Published in: International Journal of Networking and Computing Vol. 12; no. 2; pp. 467 - 492
• Main Authors: Mbow, Mariama, Koide, Hiroshi, Sakurai, Kouichi
• Format: Journal Article
• Language: English
• Published: IJNC Editorial Committee 2022
• Subjects: Class imbalance; Cybersecurity; Deep learning; Network intrusion detection

Network intrusion detection system(NIDS) is the most used tool to detect malicious network activities. The NIDS has achieved in the recent years promising results for detecting known and novel attacks, with the adoption of deep learning. However, these NIDSs still have shortcomings. Most of the data...