Intelligent IDS in wireless sensor networks using deep fuzzy convolutional neural network
S Subramani, M Selvi - Neural Computing and Applications, 2023 - Springer
The intrusion detection systems (IDSs) developed based on classification algorithms for
securing wireless sensor networks (WSNs) are unable to attain the required detection …
securing wireless sensor networks (WSNs) are unable to attain the required detection …
[HTML][HTML] A novel feature selection approach to classify intrusion attacks in network communications
The fast development of communication technologies and computer systems brings several
challenges from a security point of view. The increasing number of IoT devices as well as …
challenges from a security point of view. The increasing number of IoT devices as well as …
[HTML][HTML] Binary chimp optimization algorithm with ML based intrusion detection for secure IoT-assisted wireless sensor networks
An Internet of Things (IoT)-assisted Wireless Sensor Network (WSNs) is a system where
WSN nodes and IoT devices together work to share, collect, and process data. This …
WSN nodes and IoT devices together work to share, collect, and process data. This …
[HTML][HTML] Golden jackal optimization algorithm with deep learning assisted intrusion detection system for network security
NO Aljehane, HA Mengash, MM Eltahir… - Alexandria Engineering …, 2024 - Elsevier
Network security is essential to our daily communications and networks. Cybersecurity
researchers initiate the significance of emerging proficient network intrusion detection …
researchers initiate the significance of emerging proficient network intrusion detection …
[HTML][HTML] Firefly algorithm based WSN-IoT security enhancement with machine learning for intrusion detection
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 …
collaborative system of WSN systems and IoT networks are work to exchange, gather, and …
[HTML][HTML] Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review
The significance of intrusion detection systems in networks has grown because of the digital
revolution and increased operations. The intrusion detection method classifies the network …
revolution and increased operations. The intrusion detection method classifies the network …
A Systematic Review on Intrusion Detection System in Wireless Networks: Variants, Attacks, and Applications
The significance of wireless networks is expanding very rapidly, and their increasing
pervasiveness makes them a vital component of the activities involved in living in the …
pervasiveness makes them a vital component of the activities involved in living in the …
Deep learning model based IDS for detecting cyber attacks in IoT based smart vehicle network
The Internet of Vehicle (IoV) is a technology that connects vehicles such as cars and buses
to the internet. It facilitates the exchange of information between these vehicles for increased …
to the internet. It facilitates the exchange of information between these vehicles for increased …
Cognitive Digital Twin in Manufacturing: A Heuristic Optimization Approach
Complex systems that link virtualization and simulation platforms with actual data from
industrial processes are vital for the next generation of production. Digital twins are such …
industrial processes are vital for the next generation of production. Digital twins are such …
[HTML][HTML] Optimising barrier placement for intrusion detection and prevention in WSNs
CKK Reddy, VS Kaza, PR Anisha, MM Khubrani… - Plos one, 2024 - journals.plos.org
This research addresses the pressing challenge of intrusion detection and prevention in
Wireless Sensor Networks (WSNs), offering an innovative and comprehensive approach …
Wireless Sensor Networks (WSNs), offering an innovative and comprehensive approach …