Federated Learning for IoMT Applications: A Standardization and Benchmarking Framework of Intrusion Detection Systems
Federated Learning for IoMT Applications: A Standardization and Benchmarking Framework of Intrusion Detection Systems by Abdullah Hussein Abdullah Al-Amoodi
Saved in:
Main Author: | Abdullah Hussein Abdullah Al-Amoodi |
---|---|
Format: | article |
Language: | English |
Published: |
Tanjung Malim
2023
|
Subjects: | |
Online Access: | https://ir.upsi.edu.my/detailsg.php?det=10899 https://ir.upsi.edu.my/detailsg.php?det=10899 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications
by: Abdullah Hussein Abdullah Al-Amoodi
Published: (2023) -
Multi-Attribute Decision-Making for Intrusion Detection Systems: A Systematic Review
by: Abdullah Hussein Abdullah Al-Amoodi
Published: (2023) -
DAS benchmarking methodology based on FWZIC II and FDOSM II to support industrial community characteristics in the design and implementation of advanced driver assistance systems in vehicles
by: Abdullah Hussein Abdullah Al-Amoodi
Published: (2023) -
Multi-classification of imbalance worm ransomware in the IoMT system
by: Hameed, Shilan S., et al.
Published: (2022) -
Multi-classification of imbalance worm ransomware in the IoMT system
by: Hameed, Shilan S., et al.
Published: (2022)