Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System

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Aquila Optimizer: A novel meta-heuristic optimization algorithm

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A novel IoT network intrusion detection approach based on Adaptive Particle Swarm Optimization Convolutional Neural Network

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An Improved Hybrid Aquila Optimizer and Harris Hawks Algorithm for Solving Industrial Engineering Optimization Problems

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Optimized ANFIS Model Using Aquila Optimizer for Oil Production Forecasting

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Social Media Toxicity Classification Using Deep Learning: Real-World Application UK Brexit

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Boosting COVID-19 Image Classification Using MobileNetV3 and Aquila Optimizer Algorithm

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An Intrusion Detection Mechanism for Secured IoMT Framework Based on Swarm-Neural Network

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An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

(2020) Swarna Priya R.M. et al.   COMPUTER COMMUNICATIONS

Building an efficient intrusion detection system based on feature selection and ensemble classifier

(2020) Yuyang Zhou et al.   Computer Networks

IoT malicious traffic identification using wrapper-based feature selection mechanisms

(2020) Muhammad Shafiq et al.   COMPUTERS & SECURITY

An intrusion detection algorithm based on bag representation with ensemble support vector machine in cloud computing

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COVID-19 image classification using deep features and fractional-order marine predators algorithm

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Genetic convolutional neural network for intrusion detection systems

(2020) Minh Tuan Nguyen et al.   Future Generation Computer Systems-The International Journal of eScience

An efficient metaheuristic algorithm based feature selection and recurrent neural network for DoS attack detection in cloud computing environment

(2020) Reddy SaiSindhuTheja et al.   APPLIED SOFT COMPUTING

CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

(2020) Muhammad Shafiq et al.   IEEE Internet of Things Journal

A Multikernel and Metaheuristic Feature Selection Approach for IoT Malware Threat Hunting in the Edge Layer

(2020) Hamed Haddadpajouh et al.   IEEE Internet of Things Journal

Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-IoT dataset

(2019) Nickolaos Koroniotis et al.   Future Generation Computer Systems-The International Journal of eScience

Deep recurrent neural network for IoT intrusion detection system

(2019) Muder Almiani et al.   SIMULATION MODELLING PRACTICE AND THEORY

Multi-Scale Geospatial Object Detection Based on Shallow-Deep Feature Extraction

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Best features based intrusion detection system by RBM model for detecting DDoS in cloud environment

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Intrusion Detection System Based on Decision Tree over Big Data in Fog Environment

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Adaptive Pooling Operators for Weakly Labeled Sound Event Detection

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A Novel Intrusion Detection Model for a Massive Network Using Convolutional Neural Networks

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An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine

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Optimizing Green Computing Awareness for Environmental Sustainability and Economic Security as a Stochastic Optimization Problem

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The Whale Optimization Algorithm

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Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm

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