Cloud computing has emerged as a popular computing model to process data and execute
computationally intensive applications in a pay-as-you-go manner. Due to the ever …

Abstract Distributed Denial of Service (DDoS) attack is a stubborn network security problem.
Various machine learning-based methods have been proposed to detect such attacks …

In the recent era, the security issues affecting the future Internet‐of‐Things (IoT) standards
has fascinated noteworthy consideration from numerous research communities. In this view …

In this study, the authors propose a multi‐objective optimisation‐based feature selection
(FS) method for the detection of distributed denial of service (DDoS) attacks in an internet of …

The Internet of Things (IoT) is a network of connected electromechanical devices that have
limited computational, networking, and storage capabilities. IoT is now widely used in …

Network survivability is one of the key challenges that the Internet of Things (IoTs) has to
deal with, and cascading failures are one of the main bottlenecks affecting the network …

Computer networks are subject to an unprecedented number and variety of attack, the
majority of which are distributed denial of service (DDoS). The nature and mechanisms …

Cloud computing is now an emerging trend for cost-effective, universal access, reliability,
availability, recovery and flexible IT resources. Although cloud computing has a tremendous …

The paradigm of cloud computing has elevated IT to new heights by offering the elasticity to
match customer needs, while also reducing capital expenditure on procuring IT …

Complexity and severity of DDoS attacks is increasing day by day. Internet has highly
inconsistent structure in terms of resource distribution. Numerous technical solutions are …