[PDF][PDF] Ransomware detection system based on machine learning
OS Ahmed, OAI Al-Dabbagh - Journal of Education and Science, 2021 - iasj.net
Every day, there is great growth of the Internet and smart devices connected to the network.
Additionally, there is an increasing number of malwares that attack networks, devices …
Additionally, there is an increasing number of malwares that attack networks, devices …
On Early Detection of Anomalous Network Flows
G Fox, RV Boppana - IEEE Access, 2023 - ieeexplore.ieee.org
There are numerous methods of identifying network-based attacks using machine learning,
but processing complexity often constrains it to analyses of previously captured traffic to …
but processing complexity often constrains it to analyses of previously captured traffic to …
[PDF][PDF] Design and implement machine learning tool for cyber security risk assessment
OI Sheet, LM Ibrahim - Journal of Education and Science, 2023 - iasj.net
Cyber-attacks have increased in number and severity, which has negatively affected
businesses and their services. As such, cyber security is no longer considered merely a …
businesses and their services. As such, cyber security is no longer considered merely a …
تصميم وتنفيذ أداة التعلم اآللي لتقييم مخاطر األمن السيبراني.
عمر ابراهيم شيت, لهيب محمد ابراهي - Journal of Education & …, 2023 - search.ebscohost.com
Cyber-attacks have increased in number and severity, which has negatively affected
businesses and their services. As such, cyber security is no longer considered merely a …
businesses and their services. As such, cyber security is no longer considered merely a …