Denial of service attack detection and mitigation for internet of things using looking-back-enabled machine learning techniques

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Healthcare and Fitness Data Management Using the IoT-Based Blockchain Platform

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Detection and Mitigation of DoS and DDoS Attacks in IoT-Based Stateful SDN: An Experimental Approach

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DeepDCA: Novel Network-Based Detection of IoT Attacks Using Artificial Immune System

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Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment

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Intrusion Detection System for Internet of Things Based on Temporal Convolution Neural Network and Efficient Feature Engineering

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

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A novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks

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