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Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
[HTML][HTML] Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets
Abstract The Internet of Things (IoT) has transformed many aspects of modern life, from
healthcare and transportation to home automation and industrial control systems. However …
healthcare and transportation to home automation and industrial control systems. However …
E-graphsage: A graph neural network based intrusion detection system for iot
This paper presents a new Network Intrusion Detection System (NIDS) based on Graph
Neural Networks (GNNs). GNNs are a relatively new sub-field of deep neural networks …
Neural Networks (GNNs). GNNs are a relatively new sub-field of deep neural networks …
Protocol-based deep intrusion detection for dos and ddos attacks using unsw-nb15 and bot-iot data-sets
Since its inception, the Internet of Things (IoT) has witnessed mushroom growth as a
breakthrough technology. In a nutshell, IoT is the integration of devices and data such that …
breakthrough technology. In a nutshell, IoT is the integration of devices and data such that …
A deep learning approach for intrusion detection in Internet of Things using focal loss function
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …
transportation, manufacturing, military, agriculture, and other industries. However, for the …
Ensemble-learning framework for intrusion detection to enhance internet of things' devices security
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …
communicating, exchanging, and transferring data over various network protocols. Studies …
[HTML][HTML] Transport and application layer DDoS attacks detection to IoT devices by using machine learning and deep learning models
From smart homes to industrial environments, the IoT is an ally to easing daily activities,
where some of them are critical. More and more devices are connected to and through the …
where some of them are critical. More and more devices are connected to and through the …
[PDF][PDF] Voting Classifier and Metaheuristic Optimization for Network Intrusion Detection.
Managing physical objects in the network's periphery is made possible by the Internet of
Things (IoT), revolutionizing human life. Open attacks and unauthorized access are possible …
Things (IoT), revolutionizing human life. Open attacks and unauthorized access are possible …
[HTML][HTML] Sentiment analysis of persian movie reviews using deep learning
Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
TS-IDS: Traffic-aware self-supervised learning for IoT Network Intrusion Detection
With recent advances in the Internet of Things (IoT) technology, more people can have
instant and easy access to the IoT network of vast and diverse interconnected devices (eg …
instant and easy access to the IoT network of vast and diverse interconnected devices (eg …