A Deep Learning Based Framework for Cloud Masquerade Attack Detection

摘要

Masquerade attack is one of the most critical attacks in the cloud. We propose to build a cloud masquerade attack detection framework that can automatically collect user profile information and detect masquerade attacks using deep learning based algorithms. The preliminary experiments using Recurrent Neural Network based detection methods showed promising results. This is a research-in-progress work.