MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs
In the domain of cyber-physical systems, wireless sensor networks (WSNs) play a pivotal
role as infrastructures, encompassing both stationary and mobile sensors. These sensors …
role as infrastructures, encompassing both stationary and mobile sensors. These sensors …
[HTML][HTML] Enhancing IoT Security Using GA-HDLAD: A Hybrid Deep Learning Approach for Anomaly Detection
I Mutambik - Applied Sciences, 2024 - mdpi.com
The adoption and use of the Internet of Things (IoT) have increased rapidly over recent
years, and cyber threats in IoT devices have also become more common. Thus, the …
years, and cyber threats in IoT devices have also become more common. Thus, the …
Re-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction
Heavy hexagonal coding is a type of quantum error-correcting coding in which the edges
and vertices of a low-degree graph are assigned auxiliary and physical qubits. While many …
and vertices of a low-degree graph are assigned auxiliary and physical qubits. While many …
[HTML][HTML] Hybrid dung beetle optimization based dimensionality reduction with deep learning based cybersecurity solution on IoT environment
Abstract The Internet of Things (IoT) interconnects various devices and objects through the
Internet to interact with corresponding devices or machines. Now, consumers can purchase …
Internet to interact with corresponding devices or machines. Now, consumers can purchase …
[HTML][HTML] Hybrid Sine-Cosine Chimp optimization based feature selection with deep learning model for threat detection in IoT sensor networks
Abstract Internet of Things (IoT) sensor networks are connected systems of physical devices
set with actuators, sensors, and communication abilities, allowing them to gather, spread …
set with actuators, sensors, and communication abilities, allowing them to gather, spread …
Enhanced Intrusion Detection in Wireless Sensor Networks: A Voting and Particle Swarm Optimization Approach
Wireless sensor networks (WSNs) are of great importance in advanced technologies in the
modern develo** world as they are widely used in many applications. Although encryption …
modern develo** world as they are widely used in many applications. Although encryption …
[PDF][PDF] Intrusion Detection System Using Chaotic Walrus Optimization-based Convolutional Echo State Networks for IoT-assisted Wireless Sensor Networks
S Bahmaid, SAM Ghaleb - jowua.com
Abstract Wireless Sensor Networks (WSN) based Internet of Things (IoT) networks have
achieved greater research interest due to their multi-purpose data collection and …
achieved greater research interest due to their multi-purpose data collection and …
[ZITATION][C] Enhancing Cybersecurity via Anomaly Recognition using Thermal Exchange Fractals Optimization with Deep Learning on IoT Networks
Abstract The Internet of Things (IoT) refers to the interconnected network of objects and
devices that seamlessly communicate and share information. The need for robust …
devices that seamlessly communicate and share information. The need for robust …