[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …
smart devices. While these innovations offer unprecedented opportunities, they also …
Machine learning approaches to IoT security: A systematic literature review
With the continuous expansion and evolution of IoT applications, attacks on those IoT
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …
Anomaly-based intrusion detection system for IoT networks through deep learning model
Abstract The Internet of Things (IoT) idea has been developed to enhance people's lives by
delivering a diverse range of smart interconnected devices and applications in several …
delivering a diverse range of smart interconnected devices and applications in several …
[HTML][HTML] A comprehensive survey on IoT attacks: Taxonomy, detection mechanisms and challenges
Abstract The Internet of Things (IoT) has set the way for the continuing digitalization of
society in various manners during the past decade. The IoT is a vast network of intelligent …
society in various manners during the past decade. The IoT is a vast network of intelligent …
Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …
wide range of smart and connected devices and applications in several domains, such as …
A Comprehensive Survey on Machine Learning‐Based Intrusion Detection Systems for Secure Communication in Internet of Things
The Internet of Things (IoT) is a distributed system which is made up of the connections of
smart objects (things) that can continuously sense the events in their sensing domain and …
smart objects (things) that can continuously sense the events in their sensing domain and …
Health care service delivery based on the Internet of things: A systematic and comprehensive study
Summary Today, the Internet of Things (IoT) becomes a heterogeneous and highly
distributed structure which can respond to the daily needs of people and different …
distributed structure which can respond to the daily needs of people and different …
Intrusion detection in the iot under data and concept drifts: Online deep learning approach
OA Wahab - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Although the existing machine learning-based intrusion detection systems in the Internet of
Things (IoT) usually perform well in static environments, they struggle to preserve their …
Things (IoT) usually perform well in static environments, they struggle to preserve their …
A distributed ensemble design based intrusion detection system using fog computing to protect the internet of things networks
With the development of internet of things (IoT), capabilities of computing, networking
infrastructure, storage of data and management have come very close to the edge of …
infrastructure, storage of data and management have come very close to the edge of …
A Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing
With the advancement of blockchain technology, and the proliferation of Internet of things
(IoT)‐driven devices, the blockchain‐IoT applications is changing the perception and …
(IoT)‐driven devices, the blockchain‐IoT applications is changing the perception and …