MCAD: A Machine Learning Based Cyberattacks Detector in Software-Defined Networking (SDN) for Healthcare Systems
The healthcare sector deals with sensitive and significant data that must be protected against illegitimate users. Software-defined networks (SDNs) are widely used in healthcare systems to ensure efficient resource utilization, security, optimal network control, and management. Despite such advantag...
Main Authors: | Laila M. Halman, Mohammed J. F. Alenazi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10101795/ |
Similar Items
-
Reduction of the Delays Within an Intrusion Detection System (IDS) Based on Software Defined Networking (SDN)
by: Alessandro Fausto, et al.
Published: (2022-01-01) -
DeepIDS: Deep Learning Approach for Intrusion Detection in Software Defined Networking
by: Tuan Anh Tang, et al.
Published: (2020-09-01) -
Future Technology: Software-Defined Network (SDN) Forensic
by: Quadri Waseem, et al.
Published: (2021-04-01) -
Designing a Network Intrusion Detection System Based on Machine Learning for Software Defined Networks
by: Abdulsalam O. Alzahrani, et al.
Published: (2021-04-01) -
Improving Internet of Things (IoT) Security with Software-Defined Networking (SDN)
by: Abdullah Al-Hayajneh, et al.
Published: (2020-02-01)