Detection of Anomaly User Behaviors Based on Deep Neural Networks-Reference-Cited by-同舟云学术

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Detection of Anomaly User Behaviors Based on Deep Neural Networks

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
language:
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Author:

Ding Zhaoyun¹,Liu Lina²,Yu Donghua³,Huang Songping¹,Zhang Hang¹,Liu Kai¹

Affiliation:

1. National University of Defense Technology,Key Laboratory of information system engineering,Changsha,China

2. School of Electronic and Information Engineering, Soochow University,Suzhou,China

3. Shaoxing University,Department of Computer Science and Engineering,Shaoxing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9724288/9724267/09724456.pdf?arnumber=9724456

Reference26 articles.

1. Enhanced Password Based Security System Based on User Behavior using Neural Networks

2. A neural network component for an intrusion detection system

3. Time series analysis of web server logs for an online newspaper

4. Time series analysis of a Web search engine transaction log

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