A Deep Learning Based Framework for Cloud Masquerade Attack Detection

被引：0

作者：

Xu, Shuting ^{[1
]}

Lai, Shuhua ^{[1
]}

Li, Yongjian ^{[2
]}

机构：

[1] Georgia Gwinnett Coll, Sch Sci & Technol, Lawrenceville, NJ 30043 USA

[2] Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing, Peoples R China

来源：

2018 IEEE 37TH INTERNATIONAL PERFORMANCE COMPUTING AND COMMUNICATIONS CONFERENCE (IPCCC) | 2018年

关键词：

masquerade attack; convolutional neural network; recurrent Neural Network; cloud computing;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

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.

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页数：2

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