Security challenges of internet of underwater things: A systematic literature review
Water covers approximately 71% of the earth surface, yet much of the underwater world
remains unexplored due to technology limitations. Internet of Underwater Things (IoUT) is a …
remains unexplored due to technology limitations. Internet of Underwater Things (IoUT) is a …
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 …
encompassing environmental monitoring, healthcare, and industrial automation. However …
Intrusion detection system in wireless sensor networks-a comprehensive survey
Y Farooq, H Beenish, M Fahad - 2019 Second International …, 2019 - ieeexplore.ieee.org
WSN is a large-scale ad hoc network with the property of adequate availability, including the
all scopes of communication applications, like health care, home automation, remote …
all scopes of communication applications, like health care, home automation, remote …
MLIDS: Machine learning enabled intrusion detection system for health monitoring framework using BA-WSN
Abstract Health monitoring using Body Area Wireless Sensor Network (BA-WSN) has gained
immense popularity due to usability, ubiquitous support, and real-time performance. It is a …
immense popularity due to usability, ubiquitous support, and real-time performance. It is a …
Optimization assisted deep learning based intrusion detection system in wireless sensor network with two‐tier trust evaluation
RB Kagade, S Jayagopalan - International Journal of Network …, 2022 - Wiley Online Library
Nowadays, owing to the openness of transmission medium, wireless sensor networks
(WSNs) suffer from a variety of attacks, together with DoS attacks, tampering attacks …
(WSNs) suffer from a variety of attacks, together with DoS attacks, tampering attacks …
[HTML][HTML] Secure and privacy-preserving intrusion detection in wireless sensor networks: Federated learning with SCNN-Bi-LSTM for enhanced reliability
As the digital landscape expands rapidly due to technological advancements, cybersecurity
concerns have become more prevalent. Intrusion Detection Systems (IDSs), which are …
concerns have become more prevalent. Intrusion Detection Systems (IDSs), which are …
Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges
The development of underwater wireless sensor networks (UWSNs) has attracted great
interest from many researchers and scientists to detect and monitor unfamiliar underwater …
interest from many researchers and scientists to detect and monitor unfamiliar underwater …
Intrusion Detection System for Wireless Sensor Networks: A Machine Learning based Approach
In this era, plenty of wireless devices are being used with the support of WI-FI (Wireless
Fidelity) and need to be maintained and authorized. Wireless Sensor Networks (WSN), a …
Fidelity) and need to be maintained and authorized. Wireless Sensor Networks (WSN), a …
A lightweight intelligent intrusion detection model for wireless sensor networks
The wide application of wireless sensor networks (WSN) brings challenges to the
maintenance of their security, integrity, and confidentiality. As an important active defense …
maintenance of their security, integrity, and confidentiality. As an important active defense …
Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods
This paper proposes an intelligent hybrid model that leverages machine learning and
artificial intelligence to enhance the security of Wireless Sensor Networks (WSNs) by …
artificial intelligence to enhance the security of Wireless Sensor Networks (WSNs) by …