… literature on DDoS attack detection methods. We will briefly summarize the recent trends in
DDoS attack detection mechanisms. Liao et al. [19] proposed a detection scheme based on …

… Nevertheless, these methods have a large computing burden, … for detecting and preventing
assaults in cloud computing … approach substantially increases attack detection, network …

… To verify the accuracy of the deep-learning cyber attack detection, we use three empirical
public datasets. 1) KDDcup 1999 Dataset: The KDDcup 1999 dataset [16] is widely used as a …

… To emphasize the importance of monitoring cyber attacks we provide a brief overview of
existing literature on cloud computing security. Then we generate some real cyber attacks that …

Cloud computing is the emerging technology and most of the IT enabled services are operating
in this platform. In the recent era, the internet infrastructure relies on the cloud for their …

… detection of DDoS attacks in cloud computing environment. Section 4 describes the importance
of statistical-based anomaly detection in the detection of DDoS attacks. … Attack detection …

… in attack detection in cloud environment, but … attack detection in the cloud computing is
proposed. The data for the study is obtained by simulating the cloud environment and DoS attacks …

… Cloud computing is creating a new revolution to the IT world. … node and attack the entire
cloud system internally [3, 4]. The external attacks can be reduced by securing the cloud server’s …

… of attack-preventionas-a-service that leverages commodity VMs for attack detection and …
We propose the NIMBUS service, which combines the elasticity of cloud computing resources …

… Despite the fact, the existing cloud security research still faces the shortcomings in improving
the detection accuracy and detecting the new or unknown attacks in the cloud. To address …