The security of big data in fog-enabled IoT applications including blockchain: A survey
The proliferation of inter-connected devices in critical industries, such as healthcare and
power grid, is changing the perception of what constitutes critical infrastructure. The rising …
power grid, is changing the perception of what constitutes critical infrastructure. The rising …
Multi-connectivity for 5G networks and beyond: A survey
To manage a growing number of users and an ever-increasing demand for bandwidth,
future 5th Generation (5G) cellular networks will combine different radio access technologies …
future 5th Generation (5G) cellular networks will combine different radio access technologies …
Advanced feature extraction and selection approach using deep learning and Aquila optimizer for IoT intrusion detection system
Develo** cyber security is very necessary and has attracted considerable attention from
academy and industry organizations worldwide. It is also very necessary to provide …
academy and industry organizations worldwide. It is also very necessary to provide …
Intrusion detection system for IoT based on deep learning and modified reptile search algorithm
This study proposes a novel framework to improve intrusion detection system (IDS)
performance based on the data collected from the Internet of things (IoT) environments. The …
performance based on the data collected from the Internet of things (IoT) environments. The …
An effective feature selection model using hybrid metaheuristic algorithms for iot intrusion detection
The increasing use of Internet of Things (IoT) applications in various aspects of our lives has
created a huge amount of data. IoT applications often require the presence of many …
created a huge amount of data. IoT applications often require the presence of many …
Cyberbullying severity detection: A machine learning approach
With widespread usage of online social networks and its popularity, social networking
platforms have given us incalculable opportunities than ever before, and its benefits are …
platforms have given us incalculable opportunities than ever before, and its benefits are …
A novel approach to predict COVID-19 using support vector machine
An unexpected outbreak of 2019 Coronavirus disease (COVID-19) in Wuhan, China, led to a
massive catastrophe across the world. The majority of the COVID-19 patients are getting …
massive catastrophe across the world. The majority of the COVID-19 patients are getting …
Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction
The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …
transportation industry. This industry seeks alternative methods and technologies for more …
Efficiency aware scheduling techniques in cloud computing: a descriptive literature review
MU Sana, Z Li - PeerJ Computer Science, 2021 - peerj.com
In the last decade, cloud computing becomes the most demanding platform to resolve issues
and manage requests across the Internet. Cloud computing takes along terrific opportunities …
and manage requests across the Internet. Cloud computing takes along terrific opportunities …
COVID-19 outbreak: A data-driven optimization model for allocation of patients
COVID-19 is an unprecedented pandemic that puts the entire world at stake and the
healthcare systems across the globe have faced pressing challenges. The number of COVID …
healthcare systems across the globe have faced pressing challenges. The number of COVID …