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 …

With the development of cloud computing technology (CCT), the processing of network traffic
data becomes particularly important. However, the existing intrusion detection systems (IDS) …

Cloud computing is now ubiquitous and provides convenient access to computing resources
on demand. Cloud environments are complex and prone to faults, which can have a …

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 …

Cloud computing environments play a pivotal role in the IT landscape, seamlessly integrated
into the fabric of organizations and individuals' daily activities. Despite the myriad …

Now days the usage of cloud environment is rapidly increasing in all the fields to run
applications in virtual machines instead of physical hardware based machine. This …

The detection of anomalies in cloud metrics is an important way to identify suspicious data
instances that indicate a system problem such as hardware failures, performance …

The abnormality of system behavior is inevitable in cloud computing because of its
complexity and scale. How to perform anomaly detection on the system's operating data to …

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 …

The detection of anomalies in data is a far-reaching field of research which also applies to
the field of cloud computing in several different ways: from the detection of various types of …