Few-shot Weakly-supervised Cybersecurity Anomaly Detection

no code implementations • 15 Apr 2023 • Rahul Kale, Vrizlynn L. L. Thing

In this paper, we propose an enhancement to an existing few-shot weakly-supervised deep learning anomaly detection framework.

Data Augmentation Representation Learning +2

A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection

no code implementations • 2 Dec 2022 • Rahul Kale, Zhi Lu, Kar Wai Fok, Vrizlynn L. L. Thing

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.

Intrusion Detection Unsupervised Anomaly Detection