Paper-Conference

DeepNIDS: A Deep Neural Network-Based Network Intrusion Detection System for IoT
Recently, the widespread use of Internet of Things (IoT) has been triggering an exponential increase in the number of smart devices …
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BERT-Enhanced DGA Botnet Detection: A Comparative Analysis of Machine Learning and Deep Learning Models
With the proliferation of Internet of Things, detecting Domain Generation Algorithm (DGA) botnets is critical for protecting networks …
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Advancing Phishing Attack Detection with a Novel Dataset and Deep Learning Solution
Phishing attacks, increasingly complex and accessible due to low cost and technical requirements, demand advanced detection methods. …
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An Effective Unsupervised Cyber Attack Detection on Web Applications Using Gaussian Mixture Model
Due to the popularity of web applications, web attacks have become more prevalent and sophisticated, which poses a threat to cyber …
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Deep learning models for UAV-assisted bridge inspection: A YOLO benchmark analysis
Visual inspections of bridges are critical to ensure their safety and identify potential failures early. This inspection process can be …
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A Multi-Input Bi-LSTM Autoencoder Model with Wavelet Transform for Air Quality Prediction
Air pollution is a serious global issue that affects the health of millions of people worldwide. Machine learning models have shown …
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An automated benchmarking framework for anomaly-based intrusion detection systems
The rapid evolution of cyber threats has set an urgent requirement for cyber security solutions. In response to this, anomaly-based …
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Benchmarking svm variants for unsupervised intrusion detection system
With the growing complexity of the computer network, novel cyber-attacks have been emerging rapidly, increasing the demand for …
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The Impact of Rotational Invariance on Tree-and Deep Learning-Based Network Intrusion Detection System
In light of the achievements of deep learning in computer vision, natural language processing, and audio processing, recent research …
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An Edge-based Fire Detection System for Real-Time IoT Applications
Fire detection is a crucial research topic that has recently attracted many works. However, most of these existing methods tend to …
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