A survey of low rate ddos detection techniques based on machine learning in software-defined networks
Software-defined networking (SDN) is a new networking paradigm that provides centralized
control, programmability, and a global view of topology in the controller. SDN is becoming …
control, programmability, and a global view of topology in the controller. SDN is becoming …
A survey on 6G enabled light weight authentication protocol for UAVs, security, open research issues and future directions
This paper demonstrates a broad exploration of existing authentication and secure
communication of unmanned aerial vehicles (UAVs) in a '6G network'. We begin with an …
communication of unmanned aerial vehicles (UAVs) in a '6G network'. We begin with an …
Anomaly detection using deep neural network for IoT architecture
The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …
popularity over the last decade, resulting in an exponential growth in the IoT networks …
Blockchain technology and artificial intelligence based decentralized access control model to enable secure interoperability for healthcare
Healthcare, one of the most important industries, is data-oriented, but most of the research in
this industry focuses on incorporating the internet of things (IoT) or connecting medical …
this industry focuses on incorporating the internet of things (IoT) or connecting medical …
Analyzing RNA-seq gene expression data using deep learning approaches for cancer classification
Ribonucleic acid Sequencing (RNA-Seq) analysis is particularly useful for obtaining insights
into differentially expressed genes. However, it is challenging because of its high …
into differentially expressed genes. However, it is challenging because of its high …
Constructing domain ontology for Alzheimer disease using deep learning based approach
Facts can be exchanged in multiple fields with the help of disease-specific ontologies. A
range of diverse values can be produced by mining ontological approaches for …
range of diverse values can be produced by mining ontological approaches for …
Low rate DDoS detection using weighted federated learning in SDN control plane in IoT network
The Internet of things (IoT) has opened new dimensions of novel services and computing
power for modern living standards by introducing innovative and smart solutions. Due to the …
power for modern living standards by introducing innovative and smart solutions. Due to the …
An improved particle swarm optimization algorithm for data classification
Optimisation-based methods are enormously used in the field of data classification. Particle
Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely …
Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely …
Intelligent load-balancing framework for fog-enabled communication in healthcare
The present technological era significantly makes use of Internet-of-Things (IoT) devices for
offering and implementing healthcare services. Post COVID-19, the future of the healthcare …
offering and implementing healthcare services. Post COVID-19, the future of the healthcare …
Improved opposition-based particle swarm optimization algorithm for global optimization
Particle Swarm Optimization (PSO) has been widely used to solve various types of
optimization problems. An efficient algorithm must have symmetry of information between …
optimization problems. An efficient algorithm must have symmetry of information between …