Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0
The upcoming agricultural revolution, known as Agriculture 4.0, integrates cutting-edge Information and Communication Technologies in existing operations. Various cyber threats related to the aforementioned integration have attracted increasing interest from security researchers. Network traffic ana...
Saved in:
Main Authors: | Nikolaos Peppes, Emmanouil Daskalakis, Theodoros Alexakis, Evgenia Adamopoulou, Konstantinos Demestichas |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/d6fbf10f090e4c2faf9c196a0f9d6a44 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
VOTE BUYING, POLITICAL PATRONAGE AND SELECTIVE PLUNDER
by: CENDALES,ANDRÉS
Published: (2012) -
Threat intelligence technology in network security situation awareness
by: Yan YIN, et al.
Published: (2021) -
The disintegration of KDU-ČSL in 2009: The network analysis of co-voting strategies of the KDU-ČSL deputies
by: Brabec Dušan
Published: (2020) -
Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
by: Kowsalya Thiagarajan, et al.
Published: (2021) -
An ensemble framework based on Deep CNNs architecture for glaucoma classification using fundus photography
by: Aziz-ur-Rehman, et al.
Published: (2021)