Detecting web attacks with end-to-end deep learning

Detecting web attacks with end-to-end deep learning

Abstract Web applications are popular targets for cyber-attacks because they are network-accessible and often contain vulnerabilities. An intrusion detection system monitors web applications and issues alerts when an attack attempt is detected. Existing implementations of intrusion detection systems...

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Bibliographic Details
Main Authors: Yao Pan, Fangzhou Sun, Zhongwei Teng, Jules White, Douglas C. Schmidt, Jacob Staples, Lee Krause
Format: Article
Language:English
Published: Brazilian Computing Society (SBC) 2019-08-01
Series:Journal of Internet Services and Applications
Subjects:
Web security
Deep learning
Application instrumentation
Online Access:http://link.springer.com/article/10.1186/s13174-019-0115-x

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http://link.springer.com/article/10.1186/s13174-019-0115-x

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