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Machine learning for cloud security: a systematic review
The popularity and usage of Cloud computing is increasing rapidly. Several companies are
investing in this field either for their own use or to provide it as a service for others. One of …
investing in this field either for their own use or to provide it as a service for others. One of …
Machine learning techniques for network anomaly detection: A survey
Nowadays, distributed data processing in cloud computing has gained increasing attention
from many researchers. The intense transfer of data has made the network an attractive and …
from many researchers. The intense transfer of data has made the network an attractive and …
Machine learning in network anomaly detection: A survey
Anomalies could be the threats to the network that have ever/never happened. To protect
networks against malicious access is always challenging even though it has been studied …
networks against malicious access is always challenging even though it has been studied …
Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey
Abstract Machine learning and artificial intelligence techniques have been proven helpful
when pragmatic to a wide range of complex problems and areas such as energy …
when pragmatic to a wide range of complex problems and areas such as energy …
TIDCS: A dynamic intrusion detection and classification system based feature selection
Machine learning techniques are becoming mainstream in intrusion detection systems as
they allow real-time response and have the ability to learn and adapt. By using a …
they allow real-time response and have the ability to learn and adapt. By using a …
Cloud-based multiclass anomaly detection and categorization using ensemble learning
The world of the Internet and networking is exposed to many cyber-attacks and threats. Over
the years, machine learning models have progressed to be integrated into many scenarios …
the years, machine learning models have progressed to be integrated into many scenarios …
A review on cybersecurity of cloud computing for supporting connected vehicle applications
In an Internet of Things (IoT) environment, cloud computing is emerging as a technologically
feasible and economically viable solution for supporting real-time and non-real-time …
feasible and economically viable solution for supporting real-time and non-real-time …
Hybrid machine learning for network anomaly intrusion detection
In this paper, a hybrid approach of combing two machine learning algorithms is proposed to
detect the different possible attacks by performing effective feature selection and …
detect the different possible attacks by performing effective feature selection and …
Machine learning based cloud computing anomalies detection
Recently, machine learning algorithms have been proposed to design new security systems
for anomalies detection as they exhibit fast processing with real-time predictions. However …
for anomalies detection as they exhibit fast processing with real-time predictions. However …
AI and soft computing techniques for securing cloud and edge computing: A systematic review
In the present work, a systematic map** of various Artificial Intelligence (AI) and Soft
Computing (SC) techniques for cloud and edge computing security has been summarized …
Computing (SC) techniques for cloud and edge computing security has been summarized …