A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
Securing wireless sensor networks using machine learning and blockchain: A review
As an Internet of Things (IoT) technological key enabler, Wireless Sensor Networks (WSNs)
are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have …
are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have …
A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks
Abstract Sensors in a Wireless Sensor Network (WSN) sense, process, and transmit
information simultaneously. They mainly find applications in agriculture monitoring …
information simultaneously. They mainly find applications in agriculture monitoring …
Credit card fraud detection using machine learning
D Tanouz, RR Subramanian, D Eswar… - … and Control Systems …, 2021 - ieeexplore.ieee.org
Credit card is the commonly used payment mode in the recent years. As the technology is
developing, the number of fraud cases are also increasing and finally poses the need to …
developing, the number of fraud cases are also increasing and finally poses the need to …
WOGRU-IDS—An intelligent intrusion detection system for IoT assisted Wireless Sensor Networks
One of the key mechanisms of the current electronic and wireless frameworks is the
assistance of Wireless Sensor Networks (WSN) in Internet of Things (IoT) networks. A WSN …
assistance of Wireless Sensor Networks (WSN) in Internet of Things (IoT) networks. A WSN …
UAV-assisted IoT applications, cybersecurity threats, AI-enabled solutions, open challenges with future research directions
Unnamed Ariel Vehicle-assisted-Internet of Things (UAV-assisted IoT) applications have
emerged as a powerful integrated technology, showcasing remarkable results in many …
emerged as a powerful integrated technology, showcasing remarkable results in many …
An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
Abstract Wireless Sensor Networks (WSNs) are often used for critical applications where
trust and security are of paramount importance. Trust evaluation is one of the key …
trust and security are of paramount importance. Trust evaluation is one of the key …
Intrusion detection in networks using cuckoo search optimization
One of the key problems for researchers and network managers is anomaly detection in
network traffic. Anomalies in network traffic might signal a network intrusion, requiring the …
network traffic. Anomalies in network traffic might signal a network intrusion, requiring the …
Hybrid intrusion detection system for wireless IoT networks using deep learning algorithm
The intense growth of wireless communication and the digital revolution have increased the
utilization of Internet of Things (IoT) applications. The number of internet users increase …
utilization of Internet of Things (IoT) applications. The number of internet users increase …
Investigation of machine learning techniques in intrusion detection system for IoT network
SSS Sugi, SR Ratna - 2020 3rd international conference on …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) combines the internet and physical objects to transfer information
among the objects. In the emerging IoT networks, providing security is the major issue. IoT …
among the objects. In the emerging IoT networks, providing security is the major issue. IoT …