Open AccessA hybrid machine learning method in detecting anomalies in IoT at the fog layer
Author(s) -
Believe Ayodele,
Michaela Tromans Jones
Publication year - 2022
Publication title -
international journal of internet of things and cyber-assurance
Language(s) - English
Resource type - Journals
eISSN - 2059-7975
pISSN - 2059-7967
DOI - 10.1504/ijitca.2022.124363
Subject(s) - computer science , sophistication , anomaly detection , layer (electronics) , internet of things , anomaly (physics) , application layer , computer network , artificial intelligence , computer security , real time computing , software , social science , chemistry , physics , organic chemistry , sociology , programming language , condensed matter physics