An Internal Threat Detection Model Based on Denoising Autoencoders
Abstract
Internal user threat detection is an important research problem in the field of system security. Recently, the analysis of abnormal behaviors of users is divided into supervised learning method (SID) and unsupervised learning method (AD). However, supervised learning method relies on domain knowledge and user background, which means it cannot detect previously unknown attacks and is not suitable for multi-detection domain scenarios. Most...
Paper Details
Title
An Internal Threat Detection Model Based on Denoising Autoencoders
Published Date
Jul 11, 2019
Journal
Pages
391 - 400
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History