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 …
IRADA: integrated reinforcement learning and deep learning algorithm for attack detection in wireless sensor networks
V Shakya, J Choudhary, DP Singh - Multimedia Tools and Applications, 2024 - Springer
Abstract Wireless Sensor Networks (WSNs) play a vital role in various applications,
necessitating robust network security to protect sensitive data. Intrusion Detection Systems …
necessitating robust network security to protect sensitive data. Intrusion Detection Systems …
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 …
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 …
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 …
Energy and throughput efficient mobile wireless sensor networks: A deep reinforcement learning approach
N Alsalmi, K Navaie, H Rahmani - IET Networks, 2024 - Wiley Online Library
The efficient development of Mobile Wireless Sensor Networks (MWSNs) relies heavily on
optimizing two key parameters: Throughput and Energy Consumption. The proposed work …
optimizing two key parameters: Throughput and Energy Consumption. The proposed work …
A Security-Enhanced Energy Conservation with Enhanced Random Forest Classifier for Low Execution Time Framework (S-2EC-ERF) for Wireless Sensor Networks
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 …
Secure deep learning-based energy efficient routing with intrusion detection system for wireless sensor networks
M Sakthimohan, J Deny… - Journal of Intelligent & …, 2024 - content.iospress.com
In general, wireless sensor networks are used in various industries, including environmental
monitoring, military applications, and queue tracking. To support vital applications, it is …
monitoring, military applications, and queue tracking. To support vital applications, it is …
A deep reinforcement learning based intrusion detection system (drl-ids) for securing wireless sensor networks and internet of things
H Benaddi, K Ibrahimi, A Benslimane… - Wireless Internet: 12th EAI …, 2020 - Springer
Many modern infrastructures incorporate a number of sensors and actuators interconnected
via wireless links using Wireless Sensor Network (WSN) and Internet of Things (IoT) …
via wireless links using Wireless Sensor Network (WSN) and Internet of Things (IoT) …
Optimal sensor network routing with secure network monitoring using deep learning architectures
S Qamar - Neural Computing and Applications, 2023 - Springer
Wireless sensor network (WSN) comprises the interconnection of things or objects that are
embedded with both hardware and software. The WSN is a tiny sensor with end device …
embedded with both hardware and software. The WSN is a tiny sensor with end device …