Ransomware detection using the dynamic analysis and machine learning: A survey and research directions
Ransomware is an ill-famed malware that has received recognition because of its lethal and
irrevocable effects on its victims. The irreparable loss caused due to ransomware requires …
irrevocable effects on its victims. The irreparable loss caused due to ransomware requires …
An ensemble learning based intrusion detection model for industrial IoT security
M Mohy-Eddine, A Guezzaz… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) represents the expansion of the Internet of Things (IoT) in
industrial sectors. It is designed to implicate embedded technologies in manufacturing fields …
industrial sectors. It is designed to implicate embedded technologies in manufacturing fields …
Intrusion detection system on IoT with 5G network using deep learning
N Yadav, S Pande, A Khamparia… - … and Mobile Computing, 2022 - Wiley Online Library
The Internet of Things (IoT) cyberattacks of fully integrated servers, applications, and
communications networks are increasing at exponential speed. As problems caused by the …
communications networks are increasing at exponential speed. As problems caused by the …
An effective intrusion detection approach based on ensemble learning for IIoT edge computing
M Mohy-Eddine, A Guezzaz, S Benkirane… - Journal of Computer …, 2023 - Springer
Abstract The Internet of Things (IoT) has recently gained immense popularity. IoT is a set of
devices that compute, communicate with each other, and consist of a vast network. Industrial …
devices that compute, communicate with each other, and consist of a vast network. Industrial …
A comprehensive survey of deep learning models based on Keras framework
BT Chicho, AB Sallow - Journal of Soft Computing and Data …, 2021 - publisher.uthm.edu.my
Python is one of the most widely adopted programming languages, having replaced a
number of those in the field. Python is popular with developers for a variety of reasons, one …
number of those in the field. Python is popular with developers for a variety of reasons, one …
A weighted minimum redundancy maximum relevance technique for ransomware early detection in industrial IoT
Ransomware attacks against Industrial Internet of Things (IIoT) have catastrophic
consequences not only to the targeted infrastructure, but also the services provided to the …
consequences not only to the targeted infrastructure, but also the services provided to the …
Deep learning in distributed denial-of-service attacks detection method for Internet of Things networks
With the rapid growth of informatics systems' technology in this modern age, the Internet of
Things (IoT) has become more valuable and vital to everyday life in many ways. IoT …
Things (IoT) has become more valuable and vital to everyday life in many ways. IoT …
An Adaptive Intrusion Detection System in the Internet of Medical Things Using Fuzzy-Based Learning
M Alalhareth, SC Hong - Sensors, 2023 - mdpi.com
The Internet of Medical Things (IoMT) is a growing trend within the rapidly expanding
Internet of Things, enhancing healthcare operations and remote patient monitoring …
Internet of Things, enhancing healthcare operations and remote patient monitoring …
A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things
The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …
[PDF][PDF] Intrusion detection method for internet of things based on the spiking neural network and decision tree method
AR Zarzoor, NAS Al-Jamali… - International Journal of …, 2023 - academia.edu
(ROC) technique is used with SNN to detect cyber-attacks. The proposed method is
evaluated by comparing its performance with two other methods: IDS-DNN and IDS …
evaluated by comparing its performance with two other methods: IDS-DNN and IDS …