A Deep Learning-Based Mixed Method For Detecting Cyber Security Attacks In Cyber Physical System
In recent years, there has been an increasing demand for computing devices in Cyber-Physical Systems (CPSs) which include smart manufacturing, air intelligent transportation, critical infrastructure, robots services as well as Internet of Things (IoT) infrastructure.
Saved in:
Main Author: | Saleh, Abdullahi |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/id/eprint/24947/1/Abdullahi%20Mujaheed%20Saleh_18001208.pdf http://utpedia.utp.edu.my/id/eprint/24947/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Review Of Cyber Attacks Classifications And Threats Analysis In Cyber-Physical Systems
by: Al-Mhiqani, Mohammed Nasser Ahmed, et al.
Published: (2019) -
Digital hacking and cyber-attacks: cyber security from Islamic perspective
by: Attarbashi, Zainab, et al.
Published: (2022) -
Cyber-Security Incidents: A Review Cases In Cyber-Physical Systems
by: Al-Mhiqani, Mohammed Nasser Ahmed, et al.
Published: (2018) -
ICS cyber attack detection with ensemble machine learning and DPI using cyber-Kit datasets
by: Mubarak, Sinil, et al.
Published: (2021) -
Cyber-attack features for detecting cyber threat incidence from online news
by: Abdullah, M. S., et al.
Published: (2019)