Paper-Conference

Towards real-time outdoor air quality prediction using a hybrid model based on internet of things devices
Monitoring Air Quality Index (AQI) provides comprehensive air quality and valuable information about health risks and environmental …
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Towards generating semi-synthetic datasets for network intrusion detection system
We have witnessed the proliferation of machine learning and its applications, especially in network-based intrusion detection systems …
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A Real-time Border Surveillance System using Deep Learning and Edge Computing
Border security has always been one of the top priority obligations and responsibilities in protecting the peace of nations. Most …
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Enhancing explainability of machine learning-based intrusion detection systems
Over the past decade, the anomaly-based Intrusion Detection System (IDS) has established itself with many studies proving its …
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Towards an attention-based threat detection system for iot networks
The proliferation of the Internet of Things (IoT) serves demands in our life ranging from smart homes and smart cities to manufacturing …
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Preventing Adversarial Attacks Against Deep Learning-Based Intrusion Detection System
Deep learning (DL) applications in network intrusion detection systems (NIDS) are increasingly popular in protecting IoT networks …
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Deep feature selection for machine learning based attack detection systems
The typical intrusion detection system (IDS) based on machine learning classifies normal and attack network traffic by extracting and …
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LS-TFP: A LSTM-Based Traffic Flow Prediction Method in Intelligent Internet of Things
Intelligent transport system has been emerging as a crucial component of the smart city context, and traffic flow prediction plays an …
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Toward a predictive smart parking system in IoT-enabled cities
One of the main traffic problems that need to be taken care of is traffic congestion, which causes many harmful consequences such as …
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Towards a Robust and Scalable Information Retrieval Framework in Big Data Context
The proliferation of information in cyberspace is increasing exponentially, leading to challenges for information retrieval systems to …
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