Anomaly detection (AD) use within the network intrusion detection field of research, or
network intrusion AD (NIAD), is dependent on the proper use of similarity and distance …

Cloud computing model provides on demand, elastic and fully managed computer system
resources and services to organizations. However, attacks on cloud components can cause …

This paper reviews and analyzes well-known countermeasures against distributed denial of
service (DDoS) attacks. This paper provides an in-depth analysis of each countermeasure …

Cloud computing platform provides on-demand access of services, and these services can
also be customised, which enables the customers to use these services as per their …

This paper presents a comprehensive survey on filtering-based defense mechanisms
against distributed denial of service (DDoS) attacks. Several filtering techniques are …

The TCP SYN flooding (half-open connection) attack is a type of DDoS attack, which denies
the services by consuming the server resources. This attack prevents legitimate users from …

This article considers the possibility of detecting traffic anomalies on the basis of multiscale,
multifractal analysis by monitoring fractal-dimensional jumps in real time. The method is …

The detection of anomalies in network traffic, such as low volume attacks and abnormalities,
has become a pressing problem in today's large volume of Internet traffic. To this end …

DDoS attacks still represent a severe threat to network services. While there are more or less
workable solutions to defend against these attacks, there is a significant space for further …

Businesses and society alike have been heavily dependent on Internet-based services,
albeit with experiences of constant and annoying disruptions caused by the adversary class …