[HTML][HTML] Cyber risk and cybersecurity: a systematic review of data availability
Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020,
indicating an increase of more than 50% since 2018. With the average cyber insurance …
indicating an increase of more than 50% since 2018. With the average cyber insurance …
Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city
In the digital era, the smart city can become an intelligent society by utilizing advances in
emerging technologies. Specifically, the rapid adoption of blockchain technology has led a …
emerging technologies. Specifically, the rapid adoption of blockchain technology has led a …
[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …
connect to the Internet to collect and share data. The introduction of varied devices …
Analysis of dimensionality reduction techniques on big data
Due to digitization, a huge volume of data is being generated across several sectors such as
healthcare, production, sales, IoT devices, Web, organizations. Machine learning algorithms …
healthcare, production, sales, IoT devices, Web, organizations. Machine learning algorithms …
Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection
With the continuous emergence of various network attacks, it is becoming more and more
important to ensure the security of the network. Intrusion detection, as one of the important …
important to ensure the security of the network. Intrusion detection, as one of the important …
Federated learning for intrusion detection system: Concepts, challenges and future directions
The rapid development of the Internet and smart devices trigger surge in network traffic
making its infrastructure more complex and heterogeneous. The predominated usage of …
making its infrastructure more complex and heterogeneous. The predominated usage of …
An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture
The entire computing paradigm is changed due to the technological advancements in
Information and Communication Technology (ICT). Due to these advancements, various …
Information and Communication Technology (ICT). Due to these advancements, various …
[HTML][HTML] Early detection of diabetic retinopathy using PCA-firefly based deep learning model
Diabetic Retinopathy is a major cause of vision loss and blindness affecting millions of
people across the globe. Although there are established screening methods-fluorescein …
people across the globe. Although there are established screening methods-fluorescein …
Intrusion Detection in Industrial Internet of Things Network‐Based on Deep Learning Model with Rule‐Based Feature Selection
JB Awotunde, C Chakraborty… - … and mobile computing, 2021 - Wiley Online Library
The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …
and services to physical systems. The IIoT has been used to generate large quantities of …
A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU
The human population is growing at a very rapid scale. With this progressive growth, it is
extremely important to ensure that healthy food is available for the survival of the inhabitants …
extremely important to ensure that healthy food is available for the survival of the inhabitants …