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) …

Deep reinforcement learning for intrusion detection in IoT: A survey

A Gueriani, H Kheddar… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
The rise of new complex attacks scenarios in Internet of things (IoT) environments
necessitate more advanced and intelligent cyber defense techniques such as various …

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 …

Firefly algorithm based WSN-IoT security enhancement with machine learning for intrusion detection

M Karthikeyan, D Manimegalai, K RajaGopal - Scientific Reports, 2024 - nature.com
Abstract A Wireless Sensor Network (WSN) aided by the Internet of Things (IoT) is a
collaborative system of WSN systems and IoT networks are work to exchange, gather, and …

Empowering reinforcement learning on big sensed data for intrusion detection

S Otoum, B Kantarci, H Mouftah - Icc 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Wireless sensor and actuator networks are widely adopted in various applications such as
critical infrastructure monitoring where sensory data in big volumes and velocity are prone to …

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 …

Ambient intelligence approach: Internet of Things based decision performance analysis for intrusion detection

TV Ramana, M Thirunavukkarasan… - Computer …, 2022 - Elsevier
In recent infrastructures, Internet of Things (IoT) have become an important technology for
connecting various actuators and sensors over wireless networks. Due to increase in …

[PDF][PDF] A Novel hybrid deep learning framework for intrusion detection systems in WSN-IoT networks

M Maheswari, RA Karthika - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
With the advent of wireless communication and digital technology, low power, Internet-
enabled, and reconfigurable wireless devices have been developed, which revolutionized …

Intrusion Detection System for Wireless Sensor Networks: A Machine Learning based Approach

H Sadia, S Farhan, YU Haq, R Sana, T Mahmood… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

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 …