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Found 8 papers, 0 papers with code
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors and activities.
Blockchain-Enabled Federated Learning Approach for Vehicular Networks
Initial experiments show that compared to conventional decentralized federated learning techniques, our proposed approach significantly enhances the performance and security of vehicular networks.
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
The experimental results demonstrate that the proposed HARDC model significantly outperforms other existing models, achieving an accuracy of 99. 60\%, F1 score of 98. 21\%, a precision of 97. 66\%, and recall of 99. 60\% using MIT-BIH generated ECG.
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection
Network intrusion detection systems (NIDSs) play an important role in computer network security.
Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning
The model is evaluated on histopathological (LC25000) lung and colon datasets.
Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform
Artificial Intelligence (AI) is one of the disruptive technologies that is shaping the future.
An Experimental Validation of Accurate and Precise GNSS Time Synchronization in Vehicular Networks
For accurate and precise time synchronization in vehicular networks, Global Navigation Satellite System (GNSS) is getting increasing attention for effective use of its time dissemination to vehicular networks.
Networking and Internet Architecture
A Feasibility Study on SNTP and SPoT Protocols on Time Synchronization in Internet of Things
The new wave of computing allows users to explore their time in the Internet of Things (IoT) by connecting their smart devices over the network for data transfer without human interventions.
Networking and Internet Architecture
