Machine learning for advanced wireless sensor networks: A review
Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …
AI-based wormhole attack detection techniques in wireless sensor networks
The popularity of wireless sensor networks for establishing different communication systems
is increasing daily. A wireless network consists of sensors prone to various security threats …
is increasing daily. A wireless network consists of sensors prone to various security threats …
A hybrid wormhole attack detection in mobile ad-hoc network (MANET)
M Tahboush, M Agoyi - IEEE Access, 2021 - ieeexplore.ieee.org
Mobile Ad-hoc Networks (MANET) are decentralized wireless networks that communicate
without pre-existing infrastructure. MANETs are vulnerable to the most popular types of …
without pre-existing infrastructure. MANETs are vulnerable to the most popular types of …
[PDF][PDF] Energy optimised security against wormhole attack in iot-based wireless sensor networks
An IoT-based wireless sensor network (WSN) comprises many small sensors to collect the
data and share it with the central repositories. These sensors are battery-driven and …
data and share it with the central repositories. These sensors are battery-driven and …
Trust based secure and energy efficient routing protocol for wireless sensor networks
H Hu, Y Han, M Yao, X Song - IEEE access, 2021 - ieeexplore.ieee.org
Due to the characteristics of limited resources and dynamic topology, wireless sensor
networks (WSNs) are facing two major problems: security and energy consumption …
networks (WSNs) are facing two major problems: security and energy consumption …
Centralized routing protocol for detecting wormhole attacks in wireless sensor networks
OR Ahutu, H El-Ocla - IEEE Access, 2020 - ieeexplore.ieee.org
Nodes in wireless sensor networks (WSN) are resource and energy-constrained because
they are generally batteries powered and therefore have limited computational capability …
they are generally batteries powered and therefore have limited computational capability …
Wireless sensor network for forest fire detection
N Varela, A Ospino, NAL Zelaya - Procedia Computer Science, 2020 - Elsevier
Some methods for fire detection include monitoring from watch towers and the use of
satellite images [1][2]. Unfortunately, these are not efficient due to several reasons, such as …
satellite images [1][2]. Unfortunately, these are not efficient due to several reasons, such as …
A novel implementation of routing attack detection scheme by using fuzzy and feed-forward neural networks
M Ezhilarasi, L Gnanaprasanambikai, A Kousalya… - Soft Computing, 2023 - Springer
The application of wireless sensor networks is not limited to a particular domain. Technology
advancements result in innovative solutions for simple communication to large applications …
advancements result in innovative solutions for simple communication to large applications …
ML Based Intrusion Detection Scheme for various types of attacks in a WSN using C4. 5 and CART classifiers
A key component for preserving a WSN's integrity is designing an intrusion detection system
(IDS). This article covers several sorts of security threats that may occur in a WSN. It …
(IDS). This article covers several sorts of security threats that may occur in a WSN. It …
A secure clustering protocol with fuzzy trust evaluation and outlier detection for industrial wireless sensor networks
Security is one of the major concerns in industrial wireless sensor networks (IWSNs). To
assure the security in clustered IWSNs, this article presents a secure clustering protocol with …
assure the security in clustered IWSNs, this article presents a secure clustering protocol with …