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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 …
A self-attention-based deep convolutional neural networks for IIoT networks intrusion detection
The Industrial Internet of Things (IIoT) comprises a variety of systems, smart devices, and an
extensive range of communication protocols. Hence, these systems face susceptibility to …
extensive range of communication protocols. Hence, these systems face susceptibility to …
Machine learning based intrusion detection system for IoMT
P Kulshrestha, TV Vijay Kumar - International Journal of System Assurance …, 2024 - Springer
Millennials have the advantage of accessing readily available modern scientific
advancements, particularly in technology. One of these technologies that encompasses …
advancements, particularly in technology. One of these technologies that encompasses …
[HTML][HTML] ROAST-IoT: a novel range-optimized attention convolutional scattered technique for intrusion detection in IoT networks
A Mahalingam, G Perumal, G Subburayalu, M Albathan… - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has significantly benefited several businesses, but because of
the volume and complexity of IoT systems, there are also new security issues. Intrusion …
the volume and complexity of IoT systems, there are also new security issues. Intrusion …
IoT intrusion detection: a review of ml and dl-based approaches
I Rakine, K El Guemmat, S Ouahabi… - 2024 4th International …, 2024 - ieeexplore.ieee.org
The world is becoming more and more tied to the Internet of Things (IoT) technology. It is
present in almost every era: healthcare, agriculture, education, industry, etc. This technology …
present in almost every era: healthcare, agriculture, education, industry, etc. This technology …
Class imbalance data handling with optimal deep learning-based intrusion detection in IoT environment
Abstract The Internet of Things (IoT) has performed a paradigm shift in the method devices
and systems interact, allowing seamless connectivity and communication. But, the …
and systems interact, allowing seamless connectivity and communication. But, the …
ABCNN-IDS: attention-based convolutional neural network for intrusion detection in IoT networks
This paper proposes an attention-based convolutional neural network (ABCNN) for intrusion
detection in the Internet of Things (IoT). The proposed ABCNN employs an attention …
detection in the Internet of Things (IoT). The proposed ABCNN employs an attention …
Applying an Improved Dung Beetle Optimizer Algorithm to Network Traffic Identification.
Q Wu, H Xu, M Liu - Computers, Materials & Continua, 2024 - search.ebscohost.com
Network traffic identification is critical for maintaining network security and further meeting
various demands of network applications. However, network traffic data typically possesses …
various demands of network applications. However, network traffic data typically possesses …
[PDF][PDF] Securing Cloud-Encrypted Data: Detecting Ransomware-as-a-Service (RaaS) Attacks through Deep Learning Ensemble.
Data security assurance is crucial due to the increasing prevalence of cloud computing and
its widespread use across different industries, especially in light of the growing number of …
its widespread use across different industries, especially in light of the growing number of …
An intelligent attention based deep convoluted learning (IADCL) model for smart healthcare security
In recent times, there has been rapid growth of technologies that have enabled smart
infrastructures-IoT-powered smart grids, cities, and healthcare systems. But these resource …
infrastructures-IoT-powered smart grids, cities, and healthcare systems. But these resource …