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 …

An accurate attack detection framework based on exponential polynomial kernel‐centered deep neural networks in the wireless sensor network

B Raveendranadh… - Transactions on emerging …, 2023 - Wiley Online Library
A novel type of wireless network that is rising in popularity with a wide assortment of civilian
along with military applications is called WSN. Owing to several factors like nodes with …

Artificial Neural Network-Based Mechanism to Detect Security Threats in Wireless Sensor Networks

S Khan, MA Khan, N Alnazzawi - Sensors, 2024 - mdpi.com
Wireless sensor networks (WSNs) are essential in many areas, from healthcare to
environmental monitoring. However, WSNs are vulnerable to routing attacks that might …

Wsn-bfsf: A new dataset for attacks detection in wireless sensor networks

M Dener, C Okur, S Al, A Orman - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The popularity of wireless sensor networks (WSNs) increases as the usage areas and the
number of integrated systems increase, and this situation attracts the attention of attackers …

Optimized deep learning‐based intrusion detection for wireless sensor networks

G Vembu, D Ramasamy - International Journal of …, 2023 - Wiley Online Library
The technological innovations and wide use of Wireless Sensor Network (WSN) applications
need to handle diverse data. These huge data possess network security issues as intrusions …

A comparative study of machine learning models for cyber-attacks detection in wireless sensor networks

S Ismail, TT Khoei, R Marsh… - 2021 IEEE 12th Annual …, 2021 - ieeexplore.ieee.org
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 …

[PDF][PDF] Hybrid Cyber-Security Model for Attacks Detection Based on Deep and Machine Learning.

SM Naser, YH Ali, DAJ Obe - International Journal of Online & …, 2022 - researchgate.net
Nowadays, numerous attacks can be considered high risks in terms of the security of
Wireless Sensor Network (WSN). As a result, different applications are introduced to …

Intrusion Detection in Wireless Sensor Networks Using Deep Learning

A Goyal, S Mishra… - 2023 4th International …, 2023 - ieeexplore.ieee.org
WSNs are currently seeing widespread adoption across a variety of settings, including the
medical industry, manufacturing environments, and a number of other domains. WSNs are …

Towards building robust intrusion detection system in wireless sensor networks using machine learning and feature selection

S Umamaheshwari, SA Kumar… - … on advancements in …, 2021 - ieeexplore.ieee.org
Wireless sensor Networks (WSN) have numerous applications in today's world. The security
threat, on the other hand, is a major concern in WSN. Incorporating an intrusion detection …

Stochastic Machine Learning Based Attacks Detection System in Wireless Sensor Networks

ARA Moundounga, H Satori - Journal of Network and Systems …, 2024 - Springer
Abstract Wireless Sensor Networks (WSNs) play a crucial role in diverse applications,
encompassing environmental monitoring, healthcare, and industrial automation. However …