A highly accurate deep learning based approach for developing wireless sensor network middleware
RA Alshinina, KM Elleithy - IEEE Access, 2018 - ieeexplore.ieee.org
Despite the popularity of wireless sensor networks (WSNs) in a wide range of applications,
security problems associated with them have not been completely resolved. Middleware is …
security problems associated with them have not been completely resolved. Middleware is …
A highly accurate machine learning approach for developing wireless sensor network middleware
R Alshinina, K Elleithy - 2018 wireless telecommunications …, 2018 - ieeexplore.ieee.org
Despite the popularity of wireless sensor networks (WSNs) in a wide range of applications,
security problems associated with them have not been completely resolved. Middleware is …
security problems associated with them have not been completely resolved. Middleware is …
Machine learning solution for the security of wireless sensor network
Energy efficiency and safety are two essential factors that play a significant role in operating
a wireless sensor network. However, it is claimed that these two factors are naturally …
a wireless sensor network. However, it is claimed that these two factors are naturally …
Intrusion detection system in wireless sensor network using conditional generative adversarial network
Wireless communication networks have much data to sense, process, and transmit. It tends
to develop a security mechanism to care for these needs for such modern-day systems. An …
to develop a security mechanism to care for these needs for such modern-day systems. An …
Enhancing cyber security in WSN using optimized self-attention-based provisional variational auto-encoder generative adversarial network
B Meenakshi, D Karunkuzhali - Computer Standards & Interfaces, 2024 - Elsevier
Wireless sensor network (WSN) is a multi-hop and self-organizing wireless network consists
of fixed or moving sensors, this is one of the key components of the cyber physical system. It …
of fixed or moving sensors, this is one of the key components of the cyber physical system. It …
[HTML][HTML] Security Enhancement for Deep Reinforcement Learning-Based Strategy in Energy-Efficient Wireless Sensor Networks
Energy efficiency and security issues are the main concerns in wireless sensor networks
(WSNs) because of limited energy resources and the broadcast nature of wireless …
(WSNs) because of limited energy resources and the broadcast nature of wireless …
[HTML][HTML] Convolutional technique for enhancing security in wireless sensor networks against malicious nodes
TA Alghamdi - Human-centric Computing and Information Sciences, 2019 - Springer
Wireless sensor networks (WSNs) comprise tiny devices known as sensors. These devices
are frequently employed in short-range communications and can perform various operations …
are frequently employed in short-range communications and can perform various operations …
Developing an attack detection framework for wireless sensor network‐based healthcare applications using hybrid convolutional neural network
CA Subasini, SP Karuppiah, A Sheeba… - Transactions on …, 2021 - Wiley Online Library
Attack detection is the major issue in healthcare‐based wireless sensor networks (H‐
WSNs). Due to their low processing speed, very low storage space, poor attack detection …
WSNs). Due to their low processing speed, very low storage space, poor attack detection …
A comparative study of machine learning models for cyber-attacks detection in wireless sensor networks
Wireless Sensor Network is a key technology for Internet of Things, but it is an example of
energy-restricted networks. In such networks with a large number of deployed sensors with …
energy-restricted networks. In such networks with a large number of deployed sensors with …
[HTML][HTML] A Security-Enhanced Energy Conservation with Enhanced Random Forest Classifier for Low Execution Time Framework (S-2EC-ERF) for Wireless Sensor …
MKI Ibraheem, AAJ Al-Abadi, MB Mohamed… - Applied Sciences, 2024 - mdpi.com
Wireless sensor networks (WSNs) play a pivotal role in diverse applications such as
environmental monitoring, industrial automation, healthcare, and smart cities. The motivation …
environmental monitoring, industrial automation, healthcare, and smart cities. The motivation …