Stochastic gradient descent intrusions detection for wireless sensor network attack detection system using machine learning

HM Saleh, H Marouane, A Fakhfakh - IEEE Access, 2024 - ieeexplore.ieee.org
Communication in cyber-physical systems relies heavily on Wireless Sensor Networks
(WSNs), which have numerous uses including ambient monitoring, object recognition, and …

Development and Validation of a Cyber-Physical System Leveraging EFDPN for Enhanced WSN-IoT Network Security

S Krishnasamy, MB Alotaibi, LI Alehaideb, Q Abbas - Sensors, 2023 - mdpi.com
In the current digital era, Wireless Sensor Networks (WSNs) and the Internet of Things (IoT)
are evolving, transforming human experiences by creating an interconnected environment …

SHAKE-ESDRL-based energy efficient intrusion detection and hashing system

S Sheeja - Annals of Telecommunications, 2024 - Springer
Outstanding progress in unsolicited intrusions along with security threats, which interrupt the
normal operations of wireless sensor networks (WSNs), have been attracted by the …

[PDF][PDF] An Improved Intrusion Detection System Using Machine Learning with Singular Value Decomposition and Principal Component Analysis.

RA Al Hasan, EK Hamza - … Journal of Intelligent Engineering & Systems, 2023 - inass.org
Among the most crucial components of a cyber physical system is a network of nodes via
which a large number of autonomous, mobile or stationary sensors can communicate with …

The smart tapping identification model without installing a control program in modern wireless communication

H Srivastava, S Akhai - 2022 International Interdisciplinary …, 2022 - ieeexplore.ieee.org
There are many fairy tales of wire tapping a phone without installing a control program.
Many newly minted spies claim this option. Unfortunate marketers advertise their products to …

Feature selection model using naive bayes ML algorithm for WSN intrusion detection system

D Jeevaraj - International journal of electrical and computer …, 2023 - hrcak.srce.hr
Sažetak Intrusion detection models using machine-learning algorithms are used for Intrusion
prediction and prevention purposes. Wireless sensor network has a possibility of being …

[PDF][PDF] An Intelligent Prairie Dog Optimization (IPDO) and Deep Auto-Neural Network (DANN) based IDS for WSN Security

D Hemanand, P Mohankumar, M Kumar… - Iraqi Journal For …, 2023 - iasj.net
Wireless sensor networks (WSNs) are targets of intrusion, which seeks to make these
networks less capable of performing their duties or even completely eradicate them. The …

Anomaly Detection in Wireless Sensor Networks Using Machine Learning

HM Saleh, H Marouane… - 2023 16th International …, 2023 - ieeexplore.ieee.org
The security-enhanced information systems are of fundamental exigency for modern
connected entities in the modern day, owing to its rapidly evolving digital world and more …

Assault Type Detection in WSN Based on Modified DBSCAN with Osprey Optimization Using Hybrid Classifier LSTM with XGBOOST for Military Sector

R Preethi - Optical Memory and Neural Networks, 2024 - Springer
Military tasks constitute the most important and significant applications of Wireless sensor
networks (WSNs). In military, Sensor node deployment increases activities, efficient …

A Novel CNN Model with Dimensionality Reduction for WSN Intrusion Detection.

RA Alhasan, EK Hamza - Revue d'Intelligence Artificielle, 2023 - search.ebscohost.com
Wireless sensor networks (WSNs) play a critical role in cyber-physical systems, enabling
communication between autonomous sensors. When integrated with the Internet of Things …