A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection. (arXiv:2212.00966v1 [cs.CR])

Cyber intrusion attacks that compromise the users' critical and sensitive
data are escalating in volume and intensity, especially with the growing
connections between our daily life and the Internet. The large volume and high
complexity of such intrusion attacks have impeded the effectiveness of most
traditional defence techniques. While at the same time, the remarkable
performance of the machine learning methods, especially deep learning, in
computer vision, had garnered research interests from the cyber security
community to further enhance and …

anomaly detection deep learning detection framework hybrid intrusion intrusion detection