DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks

标题
DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks
作者
关键词
Anomaly detection, Edge computing, Edge networks, One-class learning, Gaussian mixture model, Correntropy technique
出版商
Elsevier BV
发表日期
2021-01-14
DOI
10.1016/j.future.2021.01.011

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started