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 review of current prediction techniques for extending the lifetime of wireless sensor networks
WB Nedham, AKM Al-Qurabat - International Journal of …, 2023 - inderscienceonline.com
The possibility for broad usage of Wireless Sensor Networks (WSNs) in many various
sectors, such as environmental monitoring, security, home automation and many others, has …
sectors, such as environmental monitoring, security, home automation and many others, has …
Secure and optimized intrusion detection scheme using LSTM-MAC principles for underwater wireless sensor networks
Abstract Underwater Wireless Sensor Networks (UWSNs) are the type of WSNs that transmit
the data through water medium and monitor the oceanic conditions, water contents, under …
the data through water medium and monitor the oceanic conditions, water contents, under …
Evaluation of naïve bayesian algorithms for cyber-attacks detection in wireless sensor networks
Wireless Sensor Network (WSN) is one of the Internet of Things (IoT) operating platforms,
which has proliferated into a wide range of applications. These networks comprise many …
which has proliferated into a wide range of applications. These networks comprise many …
New trends and advancement in next generation mobile wireless communication (6G): a survey
As the commercial implementations of 5G networks have been initiated in different regions
of the world, the focus of the researchers is bending towards the next generation of wireless …
of the world, the focus of the researchers is bending towards the next generation of wireless …
Comprehensive Study on Detecting Multi-Class Classification of IoT Attack Using Machine Learning Methods
T Zhukabayeva, L Zholshiyeva… - Journal of Robotics …, 2024 - journal.umy.ac.id
Automatic Controlled Robotic Car Based on Node MCU for Real-Time Obstacle and Explosive Detection
Automatic vehicles have significant challenges when it comes to detecting and avoiding
obstacles in real-time. By considering hardware, software, and communication settings, this …
obstacles in real-time. By considering hardware, software, and communication settings, this …
Resource Management in Next Generation MEC-Enabled Wireless Networks Using Machine Learning
AC Nguyen - 2024 - ruor.uottawa.ca
With the help of unmanned aerial vehicles (UAV) and multi-access edge computing (MEC),
the Internet of Things (IoT) can provide valuable insights for a smart farm. The IoT devices …
the Internet of Things (IoT) can provide valuable insights for a smart farm. The IoT devices …
Application of machine learning algorithms in ensuring information security of the internet of things in water transport
I Li, A Arbuzov, V Shilkin, I Shilkina… - Safety in Aviation and …, 2021 - Springer
IoT technologies are gaining increasing influence in all areas of human activity from
wearable devices to industrial applications. With the rapid development of water transport …
wearable devices to industrial applications. With the rapid development of water transport …
Selecting the best routing traffic for packets in LAN via machine learning to achieve the best strategy
B Zhang, R Liao - Complexity, 2021 - Wiley Online Library
The application of machine learning touches all activities of human behavior such as
computer network and routing packets in LAN. In the field of our research here, emphasis …
computer network and routing packets in LAN. In the field of our research here, emphasis …